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1
Soedarso, Nick. "Mengolah Data Video Analog Menjadi Video Digital Sederhana." Humaniora 1, no. 2 (October 31, 2010): 569. http://dx.doi.org/10.21512/humaniora.v1i2.2897.
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Nowadays, editing technology has entered the digital age. Technology will demonstrate the evidence of processing analog to digital data has become simpler since editing technology has been integrated in the society in all aspects. Understanding the technique of processing analog to digital data is important in producing a video. To utilize this technology, the introduction of equipments is fundamental to understand the features. The next phase is the capturing process that supports the preparation in editing process from scene to scene; therefore, it will become a watchable video.
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Wang, Lei. "Sports Feedback System Based on Video Digital Processing." Computational and Mathematical Methods in Medicine 2022 (June 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/2859567.
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The current sports feedback system has high application value and is widely used in physical education courses, but it has problems such as large feedback error, long response time, and incomplete data, leading to poor effect of sports feedback system. In order to improve the effectiveness of sports feedback system, a sports feedback system based on video digital processing is designed. By constructing the overall architecture of video digital sports feedback system, the positioning module, interface module, power supply circuit module, sampling module, input module, signal extraction module, and video digital processing module are designed. Using information communication mechanism, TCP/IP network protocol, serial communication, and shared memory to improve video digital processing, experimental results show that the designed system has good error convergence of 0.1, short response time of 32 s, and high data integrity of 94%, which has strong practicability.
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Lobanov, Dmitriy, and Elena Strungar. "Mathematical data processing according to digital image correlation method for polymer composites." Frattura ed Integrità Strutturale 14, no. 54 (September 23, 2020): 56–65. http://dx.doi.org/10.3221/igf-esis.54.04.
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The paper analyses the numerical algorithms for experimental data processing using a contactless video system Vic-3D, designed for three-dimension analysis of displacement and strain fields, and digital image correlation method. The authors considered methodological issues of conducting an experiment using a video system. They suggested recommendations on the choice of parameters of calculation of correlation, the size of subset and step during the analysis of non-homogeneous displacement and strain fields in polymer composite materials through laminated fiberglass composite. The efficient parameters of mathematical data processing are identified according to digital image correlation method on the basis of building fields for one frame on the surface of laminated fiberglass reinforced plastic at various subset values and at fixed step value. The paper shows the impact of step value on the strain fields detail degree. The authors have identified the relation of the chosen parameters of experimental data processing using digital image correlation method with the scaled levels of consideration of composite materials strain processes. To evaluate the strains at various scale levels, the paper uses supplementary video system instruments: “virtual extensometer”, “rectangular area” and “line”. The authors obtained a longitudinal strain profile that allows evaluating the location of strain peak areas on the composite object surface.
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Chervyakov, N. I., P. A. Lyakhov, and A. R. Orazaev. "3D-generalization of impulse noise removal method for video data processing." Computer Optics 44, no. 1 (February 2020): 92–100. http://dx.doi.org/10.18287/2412-6179-co-577.
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The paper proposes a generalized method of adaptive median impulse noise filtering for video data processing. The method is based on the combined use of iterative processing and transformation of the result of median filtering based on the Lorentz distribution. Four different combinations of algorithmic blocks of the method are proposed. The experimental part of the paper presents the results of comparing the quality of the proposed method with known analogues. Video distorted by impulse noise with pixel distortion probabilities from 1% to 99% inclusive was used for the simulation. Numerical assessment of the quality of cleaning video data from noise based on the mean square error (MSE) and structural similarity (SSIM) showed that the proposed method shows the best result of processing in all the considered cases, compared with the known approaches. The results obtained in the paper can be used in practical applications of digital video processing, for example, in systems of video surveillance, identification systems and control of industrial processes.
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Zarmehi, Nematollah, and Mohammad Ali Akhaee. "Digital video steganalysis toward spread spectrum data hiding." IET Image Processing 10, no. 1 (January 1, 2016): 1–8. http://dx.doi.org/10.1049/iet-ipr.2014.1019.
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Pratitasari, Roesnia Dwi, and Abdul Gafur. "Pengembangan video digital pengalengan buah dan sayur untuk mata kuliah teknologi pengolahan hasil pertanian." Jurnal Inovasi Teknologi Pendidikan 5, no. 1 (October 5, 2018): 48–60. http://dx.doi.org/10.21831/jitp.v5i1.14526.
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Penelitian ini bertujuan: (1) menghasilkan video digital pengalengan buah dan sayur untuk mata kuliah teknologi pengolahan hasil pertanian, (2) mengetahui kelayakan video digital pengalengan buah dan sayur pada mata kuliah teknologi pengolahan hasil pertanian di Akademi Komunitas Negeri Temanggung, dan (3) mengetahui keefektifan video digital pengalengan buah dan sayur pada mata kuliah teknologi pengolahan hasil pertanian di Akademi Komunitas Negeri Temanggung. Penelitian pengembangan ini mengacu pada langkah yang dikembangkan oleh Borg and Gall. Desain pengembangan dikelompokkan menjadi tiga prosedur pengembangan, yang meliputi: (a) analisis kebutuhan, (b) pengembangan produk, dan (c) validasi dan revisi. Teknik pengumpulan data menggunakan kuesioner dan tes. Data yang diperoleh dianalisis secara deskriptif kuantitatif. Efektifitas produk dianalisis menggunakan rumus N-gain (hasil belajar yang dinormalisasi). Hasil penelitian menunjukkan (1) produk yang dihasilkan adalah video digital pengalengan buah dan sayur, (2) produk yang dikembangkan layak digunakan sebagai salah satu sumber belajar dilihat dari aspek media dan aspek materi, dan (3) efektifitas pengembangan produk termasuk kategori tinggi.Kata kunci: video digital, pengalengan buah dan sayur DEVELOPING DIGITAL VIDEO OF CANNING FRUITS AND VEGETABLES FOR AGRICULTURAL PRODUCTS PROCESSING TECHNOLOGY COURSEAbstractThis research aims to: (1) produce digital video canning of fruits and vegetables for the course of technology processing of agricultural products, (2) determine the feasibility of digital video of canning fruits and vegetables in the subject of technological processing of agricultural products at the Academy of Community Affairs Temanggung, and ( 3) determine the effectiveness of digital video of canning fruits and vegetables in the subject of agricultural processing technology in Temanggung State Community college. The study is a research and development (R & D) adapted from Borg and Gall model that consist of analysis of needs, product development, and the validation and revision. The data were analyzed by descriptive qualitative. The effectiveness of the product was analyzed using the formula N-gain (normalized learning outcomes). The results of the research show that: (1) the resulted product is a digital video of canning fruits and vegetables, (2) the developed product is suitable to use as a learning resource of learning from the aspect of media and material aspects, and (3) the effectiveness of developed product is high.Keywords: digital video, fruit and vegetable canning
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Xu, Yuanjin, and Xiaojun Liu. "Interactive Algorithms in Complex Image Processing Systems Based on Big Data." Complexity 2020 (May 5, 2020): 1–9. http://dx.doi.org/10.1155/2020/5929584.
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In the era of big data, images and videos are one of the main means of information dissemination. In recent years, research on the problem of image and video reorganization and integration has become a hot topic in digital image processing technology. Using a computer for image processing, complicated programming is unavoidable. Therefore, it is necessary to optimize the interactive algorithms for image processing. In this paper, the content of image processing experiment is screened and integrated, and an image processing experiment system based on Matlab GUI platform is established for different levels of image processing knowledge modules. In order to verify the effectiveness and practicability of the optimization algorithm proposed in this paper, experimental simulations were performed on complex natural images and complex human eye images. The speed of the USB camera is generally between 15 frames/second and 25 frames/second, and in a 240 × 320 picture, the interactive algorithm in this article only needs about 59 ms, which is enough to complete the automatic interaction in the video in real time, which is convenient for subsequent image extraction. The experimental results show that the interactive algorithm in the complex image processing system in this paper optimizes the image extraction rate and improves the antinoise performance of the segmentation and the segmentation effect of the deep depression region.
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Henry, Jason, Alvaro Rodriguez, and Donald Wlodkowic. "Impact of digital video analytics on accuracy of chemobehavioural phenotyping in aquatic toxicology." PeerJ 7 (August 5, 2019): e7367. http://dx.doi.org/10.7717/peerj.7367.
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Chemobehavioural phenotypic analysis using small aquatic model organisms is becoming an important toolbox in aquatic ecotoxicology and neuroactive drug discovery. The analysis of the organisms’ behavior is usually performed by combining digital video recording with animal tracking software. This software detects the organisms in the video frames, and reconstructs their movement trajectory using image processing algorithms. In this work we investigated the impact of video file characteristics, video optimization techniques and differences in animal tracking algorithms on the accuracy of quantitative neurobehavioural endpoints. We employed larval stages of a free-swimming euryhaline crustacean Artemia franciscana,commonly used for marine ecotoxicity testing, as a proxy modelto assess the effects of video analytics on quantitative behavioural parameters. We evaluated parameters such as data processing speed, tracking precision, capability to perform high-throughput batch processing of video files. Using a model toxicant the software algorithms were also finally benchmarked against one another. Our data indicates that variability in video file parameters; such as resolution, frame rate, file containers types, codecs and compression levels, can be a source of experimental biases in behavioural analysis. Similarly, the variability in data outputs between different tracking algorithms should be taken into account when designing standardized behavioral experiments and conducting chemobehavioural phenotyping.
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Li, Yi, and Jialin Gang. "Development of Art and Culture Creative Industry Using FPGA and Dynamic Image Sampling." Wireless Communications and Mobile Computing 2021 (April 2, 2021): 1–7. http://dx.doi.org/10.1155/2021/6639045.
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The TVPS146’s digital video processor is used for digital video processing and image output on digital signal processing (DSP) ports. The following is a summary of the field programmable gate array (FPGA) features and programming principles. FPGA is designed by the ping-pong operation, including serial to parallel conversion design, pipeline operation, and data interface synchronization. A dance video screenshot analysis microsystem is composed of it and video dynamic image processing. Finally, according to the number of dance culture performance institutions based on the internet from 2014 to 2018, the development strategy of dance culture and creativity based on the internet is put forward. The results show that the image sharpness of the video screenshots processed by the system is improved, and the effect of enhanced processing is achieved compared to the unprocessed video screenshots. In addition, after the video screenshot processed by the system is compressed, some details are lost and the outline of the image is blurred. The combination of internet immediacy, mass, grassroots, and interactivity can accelerate the development of China’s dance culture and creative industry and provide an effective practical foundation for innovation in the development of art and culture.
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Xu, Saisai. "Sports Auxiliary Training Based on Computer Digital 3D Video Image Processing." Computational Intelligence and Neuroscience 2022 (January 10, 2022): 1–8. http://dx.doi.org/10.1155/2022/2105790.
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With the continuous development of social economy, sports have received more and more attention. How to improve the quality of sports has become the focus of research. The computer digital 3D video image processing is introduced in this paper, taking shooting as the starting point, in which computer digitization technology is used to collect images of sequence targets through combining the operation flow of shooting, monitor the results and data of shooting and process 3D video images, conduct the analyze and mine according to the corresponding statistical processing results, and evaluate the corresponding training. The simulation experiment proves that the computerized digital 3D video image processing is effective and can scientifically support sports-assisted training.
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Korneyev, Vladimir S., and Valery A. Raychert. "DIGITAL TECHNOLOGIES FOR OPTICAL IMAGES PROCESSING IN LABORATORY PRACTICE IN PHYSICS." Actual Problems of Education 1 (January 30, 2020): 185–90. http://dx.doi.org/10.33764/2618-8031-2020-1-185-190.
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Examples of a laboratory work on wave optics are considered, in which, using the MS Office Excel program, computer processing of images of interference patterns (Newton's rings) obtained with a digital video camera is performed. The sequence of computer processing of the obtained images is described and the possibility of comparing the experimentally obtained data with theoretical models of the intensity distribution is shown. Computer processing of the images obtained with the digital video camera can be used in subsequent courses in the study of special disciplines, when performing research work, in processing measurement results and constructing models of physical phenomena.
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Prajapati, Y. N., and M. K. Srivastava. "Novel algorithms for protective digital privacy." IAES International Journal of Robotics and Automation (IJRA) 8, no. 3 (September 1, 2019): 184. http://dx.doi.org/10.11591/ijra.v8i3.pp184-188.
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Video is the recording, reproducing, or broadcasting of moving visual images. Visual multimedia source that combines a sequence of images to form a moving picture. The video transmits a signal to a screen and processes the order in which the screen captures should be shown. Videos usually have audio components that correspond with the pictures being shown on the screen. Video compression technologies are about reducing and removing redundant video data so that a digital video file can be effectively sent over a network and stored on computer disks. With efficient compression techniques, a significant reduction in file size can be achieved with little or no adverse effect on the visual quality. The video quality, however, can be affected if the file size is further lowered by raising the compression level for a given compression technique. Security is about the protection of assets. Security, in information technology <a href="http://searchdatacenter.techtarget.com/definition/IT">(IT), </a>is the defense of digital information and IT assets against internal and external, malicious and accidental threats. This defense includes detection, prevention and response to threats through the use of <a href="http://searchsecurity.techtarget.com/definition/security-policy">security policies, </a>software tools and IT services. Security refers to protective digital privacy measures that are applied to prevent unauthorized access to computers, databases and websites. Cryptography is closely related to the disciplines of <a href="http://searchsecurity.techtarget.com/definition/cryptology">cryptology </a>and <a href="http://searchsecurity.techtarget.com/definition/cryptanalysis">cryptanalysis. </a>Cryptography includes techniques such as microdots, merging words with images, and other ways to hide information in storage or transit. However, in today's computer-centric world, cryptography is most often associated with scrambling <a href="http://searchsecurity.techtarget.com/definition/plaintext">plaintext </a>(ordinary text, sometimes referred to as clear text into <a href="http://searchcio-midmarket.techtarget.com/definition/ciphertext">cipher text </a>(a process called <a href="http://searchsecurity.techtarget.com/definition/encryption">encryption), </a>then back again (known as decryption). Cryptography is evergreen and developments. Cryptography protects users by providing functionality for the encryption of data and authentication of other users. Compression is the process of reducing the number of bits or bytes needed to represent a given set of data. It allows saving more data. The project aims to implement security algorithm for data security. The data will be first encrypted using security techniques and that are done at the same time then it takes less processing time and more speed compression techniques will applied. If encryption and compression are done at the same time then it takes less processing time and more speed.
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Mahmmadi, Saniya. "Video Based Vehicle Detection and Counting Using Digital Image Processing." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 1079–83. http://dx.doi.org/10.22214/ijraset.2021.38119.
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Abstract: Vehicle detection and counting is very much important for the purpose of upgrading and widening the road. The information obtained from the traffic monitoring can be used in planning the budget for road maintenance. The traffic monitoring can be done automatically or by detecting and counting the vehicles manually using human labors. In manual method of traffic monitoring the person records the data using tally sheet which may leads to the human errors and most of the automatic traffic census system used nowadays focuses on detecting and counting the vehicles by using devices called magnetic loop detectors. These devices are costly and once installed, cannot be removed. So, it is necessary to build the system that is capable of detecting and counting vehicles without involving persons for traffic monitoring and costlier devices to detect and count the vehicles. For that purpose in this work simple cameras are used for detection and counting of vehicles. Keywords: Detection, Counting, Background subtraction, Canny edge detection, Kalman filter.
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Khasim, K. N. V., G. Anilkumar, G. Vamshi, Sai kumar Ch, and M. Nikhil Yadav. "Moving Object Detection and Speed Estimation by Digital Image Processing." Journal of Physics: Conference Series 2325, no. 1 (August 1, 2022): 012035. http://dx.doi.org/10.1088/1742-6596/2325/1/012035.
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Abstract Intelligent network systems and security surveillance are used for smart city development. Manual and heritage technology is used in surveillance systems to detect speeds higher than usual in developing countries. This process can be automated with ease by leveraging the potential of image processing. Moving object detection is one of the essential tasks in image processing because of its prominent role in many real-world applications. Vehicle speed detection can be achieved by employing image and video processing methods. In this work, a unique approach is proposed for moving object detection and speed estimation based on an integrated approach in video sequence frames as opposed to the most commonly used RADAR and LIDAR devices for traffic law enforcement. Video data is collected and analyzed for speed in real-time without any sensor calibrations,thereby it removes any external hardware dependency requirements. Moving vehicles are segmented out by using frame-subtraction and masking techniques. The proposed algorithm tracks the time taken by the car to cover a predetermined fixed distance in order to calculate its speed.
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Raschke, Scott A., Roman D. Hryciw, and Gregory W. Donohoe. "Microdeformations in Sands by Digital Image Processing and Analysis." Transportation Research Record: Journal of the Transportation Research Board 1548, no. 1 (January 1996): 31–37. http://dx.doi.org/10.1177/0361198196154800105.
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Laboratory experiments are typically performed on particulate media to study stress-deformation behavior and to verify or calibrate computer models from controlled or measured boundary stresses and displacements. However, such data do not permit the formation of shear bands, displacement fields within flowing granular media, and other small-scale localized deformation phenomena to be identified. Described are two semiautomated computer vision techniques for accurately determining the two-dimensional displacement field in granular soils from video images obtained through a transparent planar viewing window. The techniques described are applicable for studying the behavior of particulate media under plane strain and certain axisymmetric test conditions. Digital image processing and analysis routines are used in two different computer programs, Tracker and Tracer, Tracker uses a graphical user interface that allows individual particles to be selected and tracked through a sequence of digital video images. A contrast edge detection algorithm delineates the two-dimensional projected boundaries of particles. The location of the centroid of each particle selected for tracking is determined from the boundary to quantify the trajectory of each particle. Tracer maps the trace or trajectory of specially dyed fluorescent particles in a sequence of video frames. A thresholding technique segments individual particle trajectories. Together, Tracker and Tracer provide a set of tools for identifying small-scale displacement fields in particulate assemblies deforming under either quasi-static or rapid loading (such as gravity flow).
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Li, Hong Yi, Cheng Yang, Xiao Yu Wu, and Ya Ning Wu. "A Kind of Video Abstracting System Base on Hadoop." Applied Mechanics and Materials 687-691 (November 2014): 2186–91. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2186.
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Digital video, as a kind of large-scale resource, plays an important role in internet’s multimedia resources. Resource consuming is one of the major issues for extracting data from digital video. However, if it is possible to know the outline of a video by browsing several pictures describing it, that will save us a huge amount of time. Up till now, it is not common for video processing system using cloud environment (except video transcoding system). This demo shows an extensible video processing system based on Apache Hadoop cloud environment. Our system utilizes FFmpeg video encoder and OpenCV graphic processor. The basic process of building a video abstracting system includes segmenting scene, followed by exacting representative key frame. The source files of that video stores in HDFS, while the information of segmentation and key frame stores in HBase. In this way, fast searching can be achieved.
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Gupta, Rajeev, Jon D. Fricker, and David P. Moffett. "Reduction of Video License Plate Data." Transportation Research Record: Journal of the Transportation Research Board 1804, no. 1 (January 2002): 31–38. http://dx.doi.org/10.3141/1804-05.
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Video license plate surveys have been used for more than a decade in Indiana to help produce origin-destination tables in corridors and small areas. In video license plate surveys, license plate images are captured on videotape for data reduction at the analyst’s office. In most cases, the letters and numbers on a license plate are manually transcribed to a data file. This manual process is tedious, time-consuming, and expensive. Although automated license plate readers are being implemented with success elsewhere, their dependence on high-end equipment makes them too expensive for most applications in Indiana. Presented are the results of an attempt to use standard video cameras and tapes, readily available video processing equipment, and open-source software to minimize the human role in the data reduction process and thus reduce the expenses involved. The process of automatically transcribing video data can be divided into subprocesses. Analog video data are digitized and stored on a computer hard disk. The resulting digital images are further processed, by using image-processing algorithms, to locate and extract the license plate and time stamp information. Character recognition techniques can then be applied to read the license plate number into an electronic file for the desired analysis. The described video license plate data reduction (VLPDR) software can identify video frames that contain vehicles and discard the remaining frames. VLPDR can locate and read the time stamps in most of these frames. Although VLPDR cannot read the license plate numbers into a data file, this final step is made easier by a user-friendly graphical user interface. VLPDR saves a significant amount of manual data reduction. The amount of labor saved depends on the parameters chosen by the user.
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Phan, Thuong-Cang, Anh-Cang Phan, Hung-Phi Cao, and Thanh-Ngoan Trieu. "Content-Based Video Big Data Retrieval with Extensive Features and Deep Learning." Applied Sciences 12, no. 13 (July 3, 2022): 6753. http://dx.doi.org/10.3390/app12136753.
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In the era of digital media, the rapidly increasing volume and complexity of multimedia data cause many problems in storing, processing, and querying information in a reasonable time. Feature extraction and processing time play an extremely important role in large-scale video retrieval systems and currently receive much attention from researchers. We, therefore, propose an efficient approach to feature extraction on big video datasets using deep learning techniques. It focuses on the main features, including subtitles, speeches, and objects in video frames, by using a combination of three techniques: optical character recognition (OCR), automatic speech recognition (ASR), and object identification with deep learning techniques. We provide three network models developed from networks of Faster R-CNN ResNet, Faster R-CNN Inception ResNet V2, and Single Shot Detector MobileNet V2. The approach is implemented in Spark, the next-generation parallel and distributed computing environment, which reduces the time and space costs of the feature extraction process. Experimental results show that our proposal achieves an accuracy of 96% and a processing time reduction of 50%. This demonstrates the feasibility of the approach for content-based video retrieval systems in a big data context.
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Yang, Cheng Zhong, and Xiao Shi Zheng. "A Video Characteristics Watermarking Algorithm Based on Bees Evolutional Computation." Applied Mechanics and Materials 571-572 (June 2014): 796–802. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.796.
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Digital video watermarking is an efficient way of copyright protection. A robust watermarking was proposed that ccording to the video features using the evolutional method of video image classification processing, suitable for video performance and human visual characteristics of video watermarking, and put forward a kind of using Bees evolutional algorithm for video image classification processing of video watermarking algorithm. All the key frame numbers are converts to a binary matrix after data transformation. At last the binary image is produced. From this, the watermarking image reflects the video’s features, so it is effective to resist the watermark copy attack.
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Yamamoto, Yutaka, Kaoru Yamamoto, Masaaki Nagahara, and Pramod P. Khargonekar. "Signal processing via sampled-data control theory." Impact 2020, no. 2 (April 15, 2020): 6–8. http://dx.doi.org/10.21820/23987073.2020.2.6.
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Digital sounds and images are used everywhere today, and they are all generated originally by analogue signals. On the other hand, in digital signal processing, the storage or transmission of digital data, such as music, videos or image files, necessitates converting such analogue signals into digital signals via sampling. When these data are sampled, the values from the discrete, sampled points are kept while the information between the sampled points is lost. Various techniques have been developed over the years to recover this lost data, but the results remain incomplete. Professor Yutaka Yamamoto's research is focused on improving how we can recover or reconstruct the original analogue data.
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Lopes, Alba Sandyra Bezerra, Ivan Saraiva Silva, and Luciano Volcan Agostini. "A Memory Hierarchy Model Based on Data Reuse for Full-Search Motion Estimation on High-Definition Digital Videos." International Journal of Reconfigurable Computing 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/473725.
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The motion estimation is the most complex module in a video encoder requiring a high processing throughput and high memory bandwidth, mainly when the focus is high-definition videos. The throughput problem can be solved increasing the parallelism in the internal operations. The external memory bandwidth may be reduced using a memory hierarchy. This work presents a memory hierarchy model for a full-search motion estimation core. The proposed memory hierarchy model is based on a data reuse scheme considering the full search algorithm features. The proposed memory hierarchy expressively reduces the external memory bandwidth required for the motion estimation process, and it provides a very high data throughput for the ME core. This throughput is necessary to achieve real time when processing high-definition videos. When considering the worst bandwidth scenario, this memory hierarchy is able to reduce the external memory bandwidth in 578 times. A case study for the proposed hierarchy, using32×32search window and8×8block size, was implemented and prototyped on a Virtex 4 FPGA. The results show that it is possible to reach 38 frames per second when processing full HD frames (1920×1080pixels) using nearly 299 Mbytes per second of external memory bandwidth.
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Wang, Yu Ru, Zhen Ping Lan, and Ping Li. "VOD Client Software Realization of Digital TV STB." Advanced Materials Research 694-697 (May 2013): 2620–25. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2620.
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Real-time VOD (Video on Demand) system is composed of a front-end processing system, a transmission networks, and a client. This paper focuses on the client software implement. It uses household STB (Set Top Box) with Hass hi3110e development platform, RTSP network protocol, and cable to control information, audio and video data transmission. The user client can start a request through cable television networks to achieve selection, storage, and playback the favorite programs anytime and anywhere.
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Kataieva, Yevheniia, and Anton Rebrikov. "URGENCY OF USING HIDDEN DATA TRANSMISSION IN VIDEO FILES." Management of Development of Complex Systems, no. 46 (June 24, 2021): 48–54. http://dx.doi.org/10.32347/2412-9933.2021.46.48-54.
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The article examines the problems of protecting information from unwanted access, which have tried to solve throughout the existence of mankind. Nowadays, the widespread use of electronic means of communication, electronic eavesdropping and fraud, a variety of computer viruses and other electronic hazards, electronic systems place high demands on the protection of information. Thus, the study of digital steganography is an urgent task. There are two main areas of hidden data transmission: cryptography and steganography. The purpose of cryptography is to restrict access to information by encrypting it. Unlike cryptography, steganography allows you to hide the very fact of the presence of hidden data. The study examined the main methods of covert data transmission using computer steganography, namely: the method of using system-reserved areas of digital data formats, methods of hiding information by special formatting of text files, which include the use of word, sentence or paragraph shift, selection certain positions of letters in the text or the use of properties of system fields that are not displayed on the screen, the method of using simulation functions, methods of using unused disk sectors, the method of using redundant media files (audio, photo and video). Currently, due to the growth of information and increasing the bandwidth of communication channels, the issue of hiding information in video sequences is becoming increasingly important. The transmission of digital video in recent years is a typical event and does not arouse suspicion. In the course of the research the peculiarities of hiding information in video files are considered, the comparison of existing algorithms of computer video steganography is made. The task is to develop your own algorithm for embedding information in the blue color channel of video files. The object of research is the transfer of hidden data in digital media files. The subject of research is the transmission of hidden data in the video stream. The purpose of research is to review the subject area, to examine the available methods of embedding information in media files in general and specifically in video files, to identify the advantages and disadvantages of existing algorithms, to develop their own algorithm of video steganography based on previously obtained research results. Research methods - methods of information theory, probability theory and mathematical statistics; methods of digital processing of signals, static images and video files; methods of vector analysis. The results of research - an overview of the features of hiding information in video files, compared existing algorithms of computer video steganography.
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Wisse, E., A. Geerts, and R. B. De Zanger. "Routine Digital Processing of Microscope Images." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 1 (August 12, 1990): 550–51. http://dx.doi.org/10.1017/s0424820100181506.
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The slowscan and TV signal of the Philips SEM 505 and the signal of a TV camera attached to a Leitz fluorescent microscope, were digitized by the data acquisition processor of a Masscomp 5520S computer, which is based on a 16.7 MHz 68020 CPU with 10 Mb RAM memory, a graphics processor with two frame buffers for images with 8 bit / 256 grey values, a high definition (HD) monitor (910 × 1150), two hard disks (70 and 663 Mb) and a 60 Mb tape drive. The system is equipped with Imaging Technology video digitizing boards: analog I/O, an ALU, and two memory mapped frame buffers for TV images of the IP 512 series. The Masscomp computer has an ethernet connection to other computers, such as a Vax PDP 11/785, and a Sun 368i with a 327 Mb hard disk and a SCSI interface to an Exabyte 2.3 Gb helical scan tape drive. The operating system for these computers is based on different versions of Unix, such as RTU 4.1 (including NFS) on the acquisition computer, bsd 4.3 for the Vax, and Sun OS 4.0.1 for the Sun (with NFS).
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Chhabra, Sahil, Neeraj Kumar Jain, and Vipin Tomar. "PVO-Based Multiple Message Segment Reversible Data Hiding." International Journal of Distributed Artificial Intelligence 11, no. 1 (January 2019): 25–33. http://dx.doi.org/10.4018/ijdai.2019010103.
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In this article, a reversible data hiding technique is proposed to embed multiple segments of a single message into a single cover image. This multiple message segment technique uses a pixel value ordering approach to embed the secret message. The splitting and randomization of the original secret message provides security from an attacker There are many digital formats for data hiding, like images, audio, and video, of which the digital image is the simplest format. Data hiding in image processing refers to inserting the secret message into digital images. Reversible data hiding (RDH) is a lossless technique, in which both the embedded secret message and the cover image is extracted by the receiver. The applications of RDH include medical and military imaging.
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Ul Haq, Hafiz Burhan, Muhammad Asif, Maaz Bin Ahmad, Rehan Ashraf, and Toqeer Mahmood. "An Effective Video Summarization Framework Based on the Object of Interest Using Deep Learning." Mathematical Problems in Engineering 2022 (May 12, 2022): 1–25. http://dx.doi.org/10.1155/2022/7453744.
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The advancements in digital video technology have empowered video surveillance to play a vital role in ensuring security and safety. Public and private enterprises use surveillance systems to monitor and analyze daily activities. Consequently, a massive volume of data is generated in videos that require further processing to achieve security protocol. Analyzing video content is tedious and a time-consuming task. Moreover, it also requires high-speed computing hardware. The video summarization concept has emerged to overcome these limitations. This paper presents a customized video summarization framework based on deep learning. The proposed framework enables a user to summarize the videos according to the Object of Interest (OoI), for example, person, airplane, mobile phone, bike, and car. Various experiments are conducted to evaluate the performance of the proposed framework on the video summarization (VSUMM) dataset, title-based video summarization (TVSum) dataset, and own dataset. The accuracy of VSUMM, TVSum, and own dataset is 99.6%, 99.9%, and 99.2%, respectively. A desktop application is also developed to help the user summarize the video based on the OoI.
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Amreev, M., R. Safin, T. Pavlova, E. Temyrkanova, and Y. Garmashova. "AMPLIFIER DESIGN FOR MODELING THE TRANSMISSION OF A DIGITAL VIDEO SIGNAL OVER A DATA TRANSMISSION CHANNEL." Series of Geology and Technical Sciences 445, no. 1 (February 1, 2021): 39–45. http://dx.doi.org/10.32014/2021.2518-170x.6.
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The use of video surveillance systems is used in the areas of security, law and order, in the territories of protected objects, in monitoring the movement of road vehicles and in other areas. The main disadvantage of a video surveillance system is its susceptibility to weather influences (rain, fog, snowfall, etc.), which degrades the quality of the video system by reducing the signal level. Therefore, the urgency of finding new ways and possibilities to improve the quality of video signals is one of the priority areas of signal processing. The main task of this work was to determine the main parameters, simulate the transmission line and amplifier, and select the schematic diagram of the transmitting and receiving path with the voltage and current ratings. Both the receiver and the cable video transmitter have different means of adjusting to different transmission line lengths. The signal at the output of each receiver should be in the range from 0.9 to 1.1 V, and the spread of the total ohmic resistance of the wires of the video transmission line at the input of the receiver should be no more than 2 – 3%. Based on these parameters, the equipment is configured for transmitting video over the channel. The magnitude of the mismatch is regulated by potentiometers, which allow smooth adjustment of the video transmission equipment [1]. As a rule, video transmission over the channel is carried out at a distance of 50 to 1500 m. If it is necessary to transmit video at distances less than 50 m, additional resistances are connected in series at the receiver input so that the total line resistance is 30 - 50 Ohm [1].
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Zhou, Yu Bin, and Yu Ning Yang. "Omni-Vision System of Intelligent Car Based on DSP & FPGA." Applied Mechanics and Materials 187 (June 2012): 109–14. http://dx.doi.org/10.4028/www.scientific.net/amm.187.109.
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In order to realize omni-vision system of intelligent car for auto wandering in real-time processing, an image processing system with 6 vision channels based on FPGA&DSP is designed. In the system, two ZBT SRAM chips are used as the input and output cache for high data transferring. A FPGA chip is responsible for the core logic controlling and video synchronous. Digital videos are sent so processing module by camlink bus. Data are exchanged by EMIF and McBSP between FPGA and DSPs. EDMA is used for data transferring between SRAM in FPGA and ZBT SRAM. The QDMA is used for 2D data transferring to 1D into DSP cache. Tasks are assigned to chips by μC/OS on master DSP. All this together, real-time data sampling and processing for multi-channel vision was realized.
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Ye, Xi En, and Xing Chen. "Video Signal Capture and Processing Card Based on H.264 Hardware Encoder." Applied Mechanics and Materials 128-129 (October 2011): 745–48. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.745.
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This paper proposes a hardware and software design proposal of video collection and processing used in digital multimedia microteaching system. The system core is H.264 hardware encoder. 4-channel video data in the case of D1 (720*576) @25fps can be encoded in real-time and uploaded to the PC in distance control room. On the premise of stability, the system adopts friendly operating interface, the user operation is very convenience.
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Cohan, Steve. "Trends in ROV Development." Marine Technology Society Journal 42, no. 1 (March 1, 2008): 38–43. http://dx.doi.org/10.4031/002533208786861335.
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This paper describes three new directions in the development of ROV control systems: exploiting the capabilities of digital video, using model-based control techniques for ROV operations, and providing ROV systems with sophisticated remote diagnostics. Goals of these trends are to increase the value of ROV operations end products (such as video), to increase efficiency of operations by adding automation, and to increase productive time by bringing outside resources to the ROV for maintenance and troubleshooting.Advances in digital video can enhance the value of video imagery by facilitating the combination of video with other data, improving utility, and increasing the range of analyses and products that can be created from video. Current digital video technology enables systems to treat video in a manner close to the transmission and processing of other sensor data, reducing the number of components and interfaces between the camera and the video imagery's end use. Model-based control has the potential to relieve pilots from managing all tasks concerning low-level motion, coordination, and control, enabling pilots to concentrate on higher-level task planning and execution. Applying software techniques designed specifically for managing data flow in distributed control systems can give remote experts access to all the tools and information necessary to assist with worksite maintenance and troubleshooting.
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Bright, David S. "Basic image processing for the microscopist." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (August 1992): 1786–87. http://dx.doi.org/10.1017/s0424820100133564.
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Images are a rich source of easily interpreted information. Equipment capable of handling pictures in computer memory (digital images) is now commonplace, and imaging is becoming an integral part of scientific computing and data analysis. Today, desk top computers are capable of displaying images with no special equipment at all. For example, NIH Image runs on a standard MAC II, and provides tools for contrast enhancement, pseudocolor, sharpening, animation, labeling and particle counting. Scanners or video cameras to input gray level (or color) images are moderately priced, and scanning microscopes are coming equipped for digital data acquisition and control. This tutorial will review some of the basic principles of image processing using example micrographs, and will illustrate how to use some readily available image processing software.Digital images are pictures that reside in the computer as arrays of numbers, each number designating the brightness of an individual picture element or pixel.
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Elaveini, Mathiyalakendran Aarthi, and Deepa Thangavel. "Performance analysis of compressive sensing recovery algorithms for image processing using block processing." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (October 1, 2022): 5063. http://dx.doi.org/10.11591/ijece.v12i5.pp5063-5072.
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<p>The modern digital world comprises of transmitting media files like image, audio, and video which leads to usage of large memory storage, high data transmission rate, and a lot of sensory devices. Compressive sensing (CS) is a sampling theory that compresses the signal at the time of acquiring it. Compressive sensing samples the signal efficiently below the Nyquist rate to minimize storage and recoveries back the signal significantly minimizing the data rate and few sensors. The proposed paper proceeds with three phases. The first phase describes various measurement matrices like Gaussian matrix, circulant matrix, and special random matrices which are the basic foundation of compressive sensing technique that finds its application in various fields like wireless sensors networks (WSN), internet of things (IoT), video processing, biomedical applications, and many. Finally, the paper analyses the performance of the various reconstruction algorithms of compressive sensing like basis pursuit (BP), compressive sampling matching pursuit (CoSaMP), iteratively reweighted least square (IRLS), iterative hard thresholding (IHT), block processing-based basis pursuit (BP-BP) based onmean square error (MSE), and peak signal to noise ratio (PSNR) and then concludes with future works.</p>
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Zhang, Jie Xin. "Research on Uncertainty of Video Content Retrieval Based on Semantic." Advanced Materials Research 204-210 (February 2011): 814–17. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.814.
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Nowadays, video media data is already facilitates generation, transmission, storage and circulation on the global scale. Video data is geometrically fast as the rate of growth, the video data processing and analysis have lagged behind the pace of development in the growth of data, resulting in large amounts of data is wasted. Therefore, it becomes an urgent need for efficient retrieval of video data content. In this paper, firstly, starting from the color feature, the color space of digital mapping and semantic color space conversion technology is proposed according to the problem of Semantic concepts for video does not match with the perceived characteristics. And then we realize the mapping from the low-level features to high-level semantic. Finally, semantic rules of uncertainty reasoning based on cloud model established to complete video content retrieval.
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Phuc, Dang Thi, Tran Quang Trieu, Nguyen Van Tinh, and Dau Sy Hieu. "Video captioning in Vietnamese using deep learning." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 3 (June 1, 2022): 3092. http://dx.doi.org/10.11591/ijece.v12i3.pp3092-3103.
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<p><span>With the development of today's society, demand for applications using digital cameras jumps over year by year. However, analyzing large amounts of video data causes one of the most challenging issues. In addition to storing the data captured by the camera, intelligent systems are required to quickly analyze the data to correct important situations. In this paper, we use deep learning techniques to build automatic models that describe movements on video. To solve the problem, we use three deep learning models: sequence-to-sequence model based on recurrent neural network, sequence-to-sequence model with attention and transformer model. We evaluate the effectiveness of the approaches based on the results of three models. To train these models, we use microsoft research video description corpus (MSVD) dataset including 1970 videos and 85,550 captions translated into Vietnamese. In order to ensure the description of the content in Vietnamese, we also combine it with the natural language processing (NLP) model for Vietnamese.</span></p>
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Kochanov, Andrey, Vyacheslav Zolotukhin, Vladislav Mironenko, Anastasia Savelyeva, and Anastasia Polyakova. "Digital processing of satellite images using neural network algorithms." Journal of Physics: Conference Series 2373, no. 6 (December 1, 2022): 062026. http://dx.doi.org/10.1088/1742-6596/2373/6/062026.
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Abstract The article discusses the system, the basis of which can be divided into two parts, hardware and software. The hardware part is a single-board computer and software using, which includes the use of neural network algorithms. This system is able to extract the necessary information from the photo and/or video frame specified by the parameters when receiving images from the satellite. This possibility is relevant, because at the moment the trend is that large enterprises want to have at least a few small spacecraft on their account and in this regard they face a number of problems associated with limited mass and size of payload devices. Due to these certain limitations, the processing of satellite frames takes place on Earth, and not on the device itself. Image processing on the spacecraft makes it possible to send only individual fragments of data and not clog the transmission channel, which saves traffic and time. Also, it makes it possible to process data on the spacecraft itself 24/7. This becomes possible thanks to the Python programming language and the trained convolutional neural network. The neural network is connected through the free library TensorFlow. The purpose of this work is to describe the features for solving the problem of classification of objects (pattern recognition).
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Durusoy, Murat. "In-Game Photography: Creating New Realities through Video Game Photography." Membrana Journal of Photography, Vol. 3, no. 1 (2018): 42–47. http://dx.doi.org/10.47659/m4.042.art.
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Computers and photography has had a long and complicated relationship throughout the years. As image processing and manipulating capabilities advanced on the computer front, photography re-birthed itself with digital cameras and digital imaging techniques. Development of interconnected social sharing networks like Instagram and Twitter feeds the photographers’/users’ thirst to show off their momentaneous “been there/seen that – capture the moment/share the moment” instincts. One other unlikely front emerged as an image processing power of the consumer electronics improved is “video game worlds” in which telematic travellers may shoot photographs in constructed fantasy worlds as if travelling in real life. While life-like graphics manufactured by the computers raise questions about authenticity and truthfulness of the image, the possible future of the photography as socially efficient visual knowledge is in constant flux. This article aims to reflect on today’s trends in in-game photography and tries to foresee how this emerging genre and its constructed realities will transpose the old with the new photographic data in the post-truth condition fostering for re-evaluation of photography truth-value. Keywords: digital image, lens-based, photography, screenshot, video games
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Putra, Dwi Sudarno, Donny Fernandez, and Wagino. "Optimization of Digital Image Processing Method to Improve Smoke Opacity Meter Accuracy." JOIV : International Journal on Informatics Visualization 2, no. 2 (March 3, 2018): 88. http://dx.doi.org/10.30630/joiv.2.2.114.
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One of the parameters of exhaust emission testing on diesel engines is the level of smoke opacity. If the opacity is high then the emission quality is bad. The instrument for measuring smoke opacity is called Smoke Opacity Meter. The commonly used basic concept to measure smoke density is by utilizing a light sensor (optical sensor). Development of Smoke Opacity Meter applies the concept of Digital Image Processing. Even though it has initially begun, the measurement result is yet as perfect as Optical Sensor Concept. Therefore, this paper describes on how to implement the Digital Image Processing Method in processing the smoke opacity video data.
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Kumar, R. Nandha, T. Sathiya, Harish Chandra Mohanta, Sayed Sayeed Ahmad, Ankit Kumar, Ghalib H. Alshammri, and Henry Kwame Atiglah. "Secure Data Deduplication System with Cyber Security Multikey Management in Cloud Storage." Security and Communication Networks 2022 (August 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/9790398.
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Object detection is essential in a video surveillance system. To recognize an item in a movie, we first examine each picture pixel by pixel. The Secure Data Deduplication system in segmentation is the process of separating distinct picture components into pixels in digital image processing. The performance of segmentation is influenced by irregular and/or poor lighting. These characteristics have a significant impact on the video surveillance system’s real-time object detection process. A multikey management system based on a modified ResNet model is presented in this research (M-ResNet). Cyber security is a suggested algorithm application that is used to improve images that are influenced by a lack of light. The experimental findings reveal a significant improvement in detecting objects in the video stream as compared to the present technique output and modification architecture of the ResNet model. The suggested model achieves superior results in measures like precision, recall, and pixel accuracy, as well as a decent increase in object recognition.
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Hussien, Amar Y. "Image Steganography Based Spatial and Transform Domain Techniques: A Review." Fusion: Practice and Applications 8, no. 1 (2022): 08–15. http://dx.doi.org/10.54216/fpa.080101.
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The amount of data shared online today is increasing. Data security is therefore cited as a significant problem while processing data exchanges through the Internet. Everyone needs the security of their data during communication processes. The science and art of steganography is the concealment of one audio, message, video, or image by embedding another audio, message, video, or image in its place. It is employed to protect sensitive data against malicious assaults. In order to detect the numerous methods employed with digital steganography, this study seeks to identify the primary image-based mediums. As a result, in the spatial domain of the digital medium, the LSB approach was mostly employed, whereas in the transform domain, DTC and DWT were separated as the primary techniques. Due to its simplicity and large embedding capacity, the spatial domain was the most frequently used domain in digital steganography.
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Palamar, Mykhailo, Myroslava Yavorska, Mykhailo Strembitskyi, and Volodymyr Strembitskyi. "Selection of the efficient video data processing strategy based on the analysis of statistical digital images characteristics." Scientific journal of the Ternopil national technical university 91, no. 3 (November 12, 2018): 107–14. http://dx.doi.org/10.33108/visnyk_tntu2018.03.107.
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Ning, Sheng Ke, Yan Yan Chen, and Bao Ji Ma. "A Video Extensometer Design for The Tensile Strain Test of Fiber Optic Cable." Applied Mechanics and Materials 271-272 (December 2012): 697–700. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.697.
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A strain measurement system for fiber optic is established based on digital image processing techniques. The hardware of the system is consists of a light source, optical fiber cable tensile equipment, CCD camera and image acquisition card. Hardware equipment was selected by the technical requirements of the system, such as measurement accuracy, velocity and so on. The software of the system, including image acquisition module, data processing module, edge detection module, image measurement module and image storage module, is designed.
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Liang, Rui, and Gaoqing Ji. "Vehicle Detection Algorithm Based on Embedded Video Image Processing in the Background of Information Technology." Journal of Electrical and Computer Engineering 2022 (April 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/6917421.
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As the main means of transportation for urban residents, the number of motor vehicles is increasing year by year. With the continuous development of society and the gradual improvement of people’s quality of life, automobiles have gradually become an indispensable means of transportation in people’s lives, resulting in increased traffic flow. However, the old traffic system is still unable to cope with the rapid growth of traffic pressure, and traffic congestion and various accidents occur frequently, which is a huge test for the contemporary intelligent traffic system. With the gradual development of society, more and more researchers are devoted to intelligent transportation systems, which make the development of target detection technology based on video image processing more and more rapid. The primary problem in embedding digital video in applications is that the complexity of video encoding and decoding far exceeds that of simple image and audio compression and decompression. Digital video can take various forms and formats. Developers need to support complex configurations and various aspects, such as different resolutions/display sizes, different bit rates, real-time issues, and even the reliability of the video source. Intelligent transportation achieved a lot of results. However, there are still some deficiencies in precision and robustness. At the same time, the improvement of video image processing technology gives us a new idea. To further improve the intelligent traffic system, provide accurate data information for all departments, and improve the traffic situation, this study, based on video image processing technology, combined with the three-frame difference algorithm, calculates and studies the data of illegal parking at a certain intersection. The calculated false detection rates for Y2 are 1.1%, 0.9%, and 2.4%, and the leakage rates for Y1 are 2.4%, 1.9%, and 4.7%, respectively. This shows that the algorithm has high accuracy for vehicle parking detection data and can collect information quickly and effectively. Applying the algorithm to the detection of other vehicles can provide efficient services for relevant traffic departments and public security departments and relieve traffic pressure. The image processing technology is a process of analyzing and processing images through certain computer technology to achieve the desired results. The scheme in the article realizes background extraction, image filtering, image binarization, morphological transformation, vehicle detection and segmentation, shadow detection, etc.
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Battseren, Batbayar, Salim Harras Mohamed, Alejandro Orjuela Aguirre Diego, Shadi Saleh, and Wolfram Hardt. "Tree Detection and Localization Approach for UAV-based Forest Inspection." Embedded Selforganising Systems 9, no. 3 (December 13, 2022): 73–81. http://dx.doi.org/10.14464/ess.v9i3.557.
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This paper addressed an UAV-based solution for forest inspection from the aspect of data processing. Insect infected trees can be identified from aerial imagery. The forest inspection data processing divided into two main phases, which are tree detection and tree localization. For the tree detection task, the Deep Learning-based approach has been used. In this study, a conventional and active learning method have been used for the training. In order to map the detected trees from the video frame to geographical locations, a custom geo-localization algorithm has been developed. The proposed system loads the inspection video as an input and calculates and outputs the detected trees’ GPS coordinates. In the calculation Digital Elevation Model and camera parameters are used in addition to drone geo-data to calculate the tree positions.
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Nunn, D. J. E. "Integrating the Fairlight CVI into the video workflow." EAI Endorsed Transactions on Creative Technologies 9, no. 3 (August 30, 2022): e2. http://dx.doi.org/10.4108/eetct.v9i3.2650.
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The Fairlight Computer Video Instrument (CVI) is one of the earliest video synthesisers, released in 1984. Over time the aesthetic of its effects has evolved from revolutionary to retro. Although MIDI was developed at around the same time, the CVI is controllable via RS232 rather than MIDI. This paper reviews its history and applications in live and studio-based video production environments. A method is outlined for controlling the CVI that allows sequencing of control data, effect automation, and integration with a digital audio workstation. Results are presented from a system using Logic Pro X for sequencing and Processing for MIDI-serial conversion.
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Fu, Ting, Joshua Stipancic, Sohail Zangenehpour, Luis Miranda-Moreno, and Nicolas Saunier. "Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems." Journal of Advanced Transportation 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/5142732.
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Vision-based monitoring systems using visible spectrum (regular) video cameras can complement or substitute conventional sensors and provide rich positional and classification data. Although new camera technologies, including thermal video sensors, may improve the performance of digital video-based sensors, their performance under various conditions has rarely been evaluated at multimodal facilities. The purpose of this research is to integrate existing computer vision methods for automated data collection and evaluate the detection, classification, and speed measurement performance of thermal video sensors under varying lighting and temperature conditions. Thermal and regular video data was collected simultaneously under different conditions across multiple sites. Although the regular video sensor narrowly outperformed the thermal sensor during daytime, the performance of the thermal sensor is significantly better for low visibility and shadow conditions, particularly for pedestrians and cyclists. Retraining the algorithm on thermal data yielded an improvement in the global accuracy of 48%. Thermal speed measurements were consistently more accurate than for the regular video at daytime and nighttime. Thermal video is insensitive to lighting interference and pavement temperature, solves issues associated with visible light cameras for traffic data collection, and offers other benefits such as privacy, insensitivity to glare, storage space, and lower processing requirements.
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Ruvinskiy, R. Z. "Shaping «Digital Circuit»: Possible Consequences for Modern Legal Systems." Lex Russica 75, no. 9 (September 23, 2022): 108–20. http://dx.doi.org/10.17803/1729-5920.2022.190.9.108-120.
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The paper presents a theoretical and legal analysis of the processes that result in bringing individuals, legal entities and society as a whole to the «digital circuit», that is, a special environment for communication between subjects and management of their behavior through algorithmic systems of processing and analyzing data thereof. The main directions of building a system for regulating the behavior of individuals through the analysis and processing of personal data are noted. The integration of various state databases with information about subjects within the framework of e-government projects, the development of video surveillance systems and automated analysis of video events, control over the digital traces of an individual on the Internet. Digital profiling of individuals and organizations based on the data collected about them allows government agencies to implement a policy of admission and restrictions, conditioning access to public services and private services on the content and quality of biographical (reputational) information about the subject in the relevant databases. To a certain extent, the developing regulatory system echoes the ideas of Confucianism. A hierarchical (ranked) society is formed instead of the principle of equality of subjects before the law and the court; the boundaries of freedom of its members are determined not by the law, but by their reputation, that is, data in relevant sources; the legal behavior of subjects is ritualized, becomes more the result of habit and conformity than conscious choice; law merges with social ethics. These transformations mean an irreversible change in the very foundations of Western-type legal systems. The author presents a probabilistic forecast of the development of legal systems following the identified trends, and proposes a possible explanation of these transformations.
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Hu, Zhen Yu. "Simulation Research on Video Tracking Based on Computer Dynamic Capturing Technology." Applied Mechanics and Materials 513-517 (February 2014): 2389–93. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2389.
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Motion capture technology of computer is a new form of a new data acquisition in recent years. It relates to many subjects, such as mathematics, computer science, graphics, digital signal processing, image processing, data structure and so on. Through the combination of various disciplines, and mutual penetration, this new research field has been formed. The study of the motion capture technology not only increases the depth of theory, but also provides practical significance for the dynamic kinematics. At present, the motion capture technology of computer has been widely applied to the animation game production, medicine motion analysis sports and other fields. This article is mainly based on the combination of basketball technique and computer motion capture to provide a theoretical basis and practical experience for computer motion capture of basketball.
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Yang, Liuqing. "Simulation of Piano Teaching System Based on Virtual Data Space System and Neural Network." Mobile Information Systems 2022 (July 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/1076268.
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Cloud computing takes the analysis and digital processing technology based on virtual data space as the foundation and core of cloud computing technology development and research, and the significance and importance of data is self-evident. This paper designs a piano teaching system based on the virtual data space system and neural network, which can help users to master and use piano teaching information through the extensive application of this system. The functional test results show that the system fully realizes the automatic allocation of all virtual data spaces in the cloud computing environment and has the function of real-time synchronization with user terminals and applications in the virtual data space. Teachers can directly give lectures to students or give students detailed answers through live webcasting and other methods. Only by using this simple operation mode can they be able to solve the problems of piano teaching very conveniently. For the on-demand video, this paper manages the piano teaching videos by classification, that is, displays this type of video in an interface or table. The improved network recognition performance based on the loss function also achieves better improvement and improvement than the original network. The model has also achieved good performance in training and recognition on datasets in a strong noise environment.
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Varga, Domonkos. "No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual Features." Electronics 10, no. 22 (November 12, 2021): 2768. http://dx.doi.org/10.3390/electronics10222768.
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No-reference video quality assessment (NR-VQA) has piqued the scientific community’s interest throughout the last few decades, owing to its importance in human-centered interfaces. The goal of NR-VQA is to predict the perceptual quality of digital videos without any information about their distortion-free counterparts. Over the past few decades, NR-VQA has become a very popular research topic due to the spread of multimedia content and video databases. For successful video quality evaluation, creating an effective video representation from the original video is a crucial step. In this paper, we propose a powerful feature vector for NR-VQA inspired by Benford’s law. Specifically, it is demonstrated that first-digit distributions extracted from different transform domains of the video volume data are quality-aware features and can be effectively mapped onto perceptual quality scores. Extensive experiments were carried out on two large, authentically distorted VQA benchmark databases.
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Cheng, Qiangli, and Yajun Dong. "Da Vinci Robot-Assisted Video Image Processing under Artificial Intelligence Vision Processing Technology." Computational and Mathematical Methods in Medicine 2022 (April 30, 2022): 1–10. http://dx.doi.org/10.1155/2022/2752444.
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This research was aimed to explore the application value of intelligent algorithm-based digital images in Da Vinci robot-assisted treatment of patients with gastric cancer surgery. 154 patients were included as the research objects, with 89 cases in the control group underwent laparoscopic surgery, and 65 cases in the experimental group underwent robotic surgery. According to the propensity score, the patients in two groups were pair matched (1: 1), of which 104 cases (52 cases in each group) were successfully matched. The general data of patients, the changes in the images before and after the algorithm processing, the intraoperative and postoperative conditions, the pathological examination results, and the follow-up information were observed after matching. Compared with the original images, the images processed by the thread image edge detection algorithm had the significantly improved clarity, as well as highly reduced artifacts and noises. The sensitivity, specificity, and accuracy of image-assisted diagnosis were improved remarkably, showing the differences of statistical significance ( P < 0.05 ). The total time of surgery, intraoperative bleeding, CRP (1d and 3d after surgery), and postoperative total abdominal drainage showed the significant differences as well ( P < 0.05 ). The surgeries of patients in both groups met R0 resection (no tumor infiltration within 1 mm of the surgical margin), but there was a significant difference in the number of lymph node dissections ( P < 0.05 ). The overall survival rates of patients in the experimental group and the control group were 83.0% and 76.1%, respectively, 2 years after surgery, with no significant difference ( P > 0.05 ). The thread image edge detection algorithm produced a better processing effect on the images, which greatly improved the diagnostic sensitivity, specificity, and accuracy. Compared with endoscopic surgery, robotic surgery has better postoperative recovery, safety and reliability, and obvious advantages of minimally invasive surgery.