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Journal articles on the topic 'Embedded video processing'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Jiang, Zhiying, Chong Guan, and Ivo L. de Haaij. "Congruity and processing fluency." Asia Pacific Journal of Marketing and Logistics 32, no. 5 (October 4, 2019): 1070–88. http://dx.doi.org/10.1108/apjml-03-2019-0128.

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Purpose The purpose of this paper is to investigate the benefits of Ad-Video and Product-Video congruity for embedded online video advertising. A conceptual model is constructed to test how congruity between online advertisements, advertised products and online videos impact consumer post-viewing attitudes via processing fluency. Design/methodology/approach An online experiment with eight versions of mock video sections (with embedded online video advertisements) was conducted. The study is a 2 (type of appeal: informational vs emotional) × 2 (Ad-Video congruity: congruent vs incongruent) × 2 (Product-Video congruity: congruent vs incongruent) full-factorial between-subject design. A total of 252 valid responses were collected for data analysis. Findings Results show that congruity is related to the improvement of processing fluency only for informational ads/videos. The positive effect of Ad-Video congruity on processing fluency is only significant for informational appeals but not emotional appeal. Similarly, the positive effects of Product-Video congruity on processing fluency are only significant for informational appeals but not emotional appeal. Involvement has been found to be positively related to processing fluency too. Processing fluency has a positive impact on the attitudes toward the ads, advertised products and videos. Research limitations/implications The finding that congruity is related to the improvement of processing fluency only for informational ads/videos extends the existing literature by identifying the type of appeal as a boundary condition. Practical implications Both brand managers and online video platform owners should monitor and operationalize the content and appeal congruity, especially for informational ads on a large scale to improve consumers’ responses. Originality/value To the best of the authors’ knowledge, this is the first paper to examine the effects of Ad-Video and Product-Video congruity of embedded advertisements on video sharing platforms. The findings of this study add to the literature on congruity and processing fluency.

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Cheng, Ling. "Digital Video Image Preprocessing Algorithm Based on Embedded System." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012004. http://dx.doi.org/10.1088/1742-6596/2074/1/012004.

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Abstract To solve the massive noise contained in the images acquired under low illumination, we designed a digital video image Preprocessing device with the denoising function. Based on the embedded CPU and operating system, video images are acquired by the camera. The noise contained in the video images is filtered by the improved median filtering algorithm and wavelet image denoising. Subsequently, the images are transmitted through USB and network interface, and the storage function of image files is implemented. The device can remove the noise contained in videos effectively, which is conducive to performing more advanced processing on the images.

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Yan, Wei. "Optimization of Storage Method for Video Segment Captured by Embedded System in Camera." Advanced Materials Research 268-270 (July 2011): 2116–20. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.2116.

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Video processing and cache capacity in embedded system in camera is the key to decide intelligence of shooting system. In particular, to meet the demand for continuous monitoring in video surveillance environment, the embedded system must be able to store the video in case of failure in network or server. In this paper, a storage method for videos with fixed size is proposed, which can effectively restrain occurrence of fragment during storage and raise I/O performance while ensuring continuity of monitoring. Furthermore, storage of video data based on H.264/AVC encoding system and its optimization are also discussed.

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Li, Rui, Xin Wang, Jian Chun Jiang, and Hong Yun Yang. "Eye State Detection Based on Embedded Linux System." Applied Mechanics and Materials 457-458 (October 2013): 1253–56. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.1253.

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Eye state detection is dramatically influenced by the position of iris, for this reason, this paper proposed an eye state detection method combined the area between the eyelid with the eyelid contour. By modifying and transplanting V4L-utils and OpenCV image processing library, video capture and display software is built on the Cortex-A8 embedded system. Through experimental verification, the embedded system can realize the acquisition, processing and display of the video stream and the eye state detection algorithm also has high accuracy.

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Wang, Qing Hui, and Hong Wei Chai. "Design of the Embedded Video Image Monitoring System Based on B/S Mode." Advanced Materials Research 433-440 (January 2012): 5722–26. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5722.

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Relying on powerful image processing capabilities and special parallel peripheral interface which is based on the ADI Corporation Blackfin561 DSP and using advanced H.264 video compression algorithm under the operate system of the uClinux. The implementation scheme of video image monitoring system based on B/S mode is proposed. By running the web boa server under the uClinux on the BF561 platform, the system realizes the video image acquisition,processing and network transmission.The result shows that the client can see the clearer images through the browser and the system meets the requirements of the remote video monitoring.

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Liu, Shizhong, and Alan C. Bovik. "Foveation embedded DCT domain video transcoding." Journal of Visual Communication and Image Representation 16, no. 6 (December 2005): 643–67. http://dx.doi.org/10.1016/j.jvcir.2005.04.001.

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7

Li, Xiao Ni, He Xin Chen, and Da Zhong Wang. "Research on Audio-Video Synchronization Coding Based on Mode Selection in H.264." Applied Mechanics and Materials 182-183 (June 2012): 701–5. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.701.

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An embedded audio-video synchronization compression coding approach is presented. The proposed method takes advantage of the different mode types used by the H.264 encoder during the inter prediction stage, different modes carry corresponding audio information, and the audio will be embedded into video stream by choosing modes during the inter prediction stage, then synchronization coding is applied to the mixing video and audio. We have verified the synchronization processing method based on H.264/AVC using JM Model and experimental results show that this method has achieved synchronization between audio and video at small embedded cost, and the same time, audio signal can be extracted without distortion, besides, this method has hardly effect on the quality of video image.

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Cygert, Sebastian, and Andrzej Czyżewski. "Vehicle Detection with Self-Training for Adaptative Video Processing Embedded Platform." Applied Sciences 10, no. 17 (August 20, 2020): 5763. http://dx.doi.org/10.3390/app10175763.

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Traffic monitoring from closed-circuit television (CCTV) cameras on embedded systems is the subject of the performed experiments. Solving this problem encounters difficulties related to the hardware limitations, and possible camera placement in various positions which affects the system performance. To satisfy the hardware requirements, vehicle detection is performed using a lightweight Convolutional Neural Network (CNN), named SqueezeDet, while, for tracking, the Simple Online and Realtime Tracking (SORT) algorithm is applied, allowing for real-time processing on an NVIDIA Jetson Tx2. To allow for adaptation of the system to the deployment environment, a procedure was implemented leading to generating labels in an unsupervised manner with the help of background modelling and the tracking algorithm. The acquired labels are further used for fine-tuning the model, resulting in a meaningful increase in the traffic estimation accuracy, and moreover, adding only minimal human effort to the process allows for further accuracy improvement. The proposed methods, and the results of experiments organised under real-world test conditions are presented in the paper.

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Thevenin, Mathieu, Michel Paindavoine, Renaud Schmit, Barthelemy Heyrman, and Laurent Letellier. "A templated programmable architecture for highly constrained embedded HD video processing." Journal of Real-Time Image Processing 16, no. 1 (July 30, 2018): 143–60. http://dx.doi.org/10.1007/s11554-018-0808-6.

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Baba, Marius, Vasile Gui, Cosmin Cernazanu, and Dan Pescaru. "A Sensor Network Approach for Violence Detection in Smart Cities Using Deep Learning." Sensors 19, no. 7 (April 8, 2019): 1676. http://dx.doi.org/10.3390/s19071676.

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Citizen safety in modern urban environments is an important aspect of life quality. Implementation of a smart city approach to video surveillance depends heavily on the capability of gathering and processing huge amounts of live urban data. Analyzing data from high bandwidth surveillance video streams provided by large size distributed sensor networks is particularly challenging. We propose here an efficient method for automatic violent behavior detection designed for video sensor networks. Known solutions to real-time violence detection are not suitable for implementation in a resource-constrained environment due to the high processing power requirements. Our algorithm achieves real-time processing on a Raspberry PI-embedded architecture. To ensure separation of temporal and spatial information processing we employ a computationally effective cascaded approach. It consists of a deep neural network followed by a time domain classifier. In contrast with current approaches, the deep neural network input is fed exclusively with motion vector features extracted directly from the MPEG encoded video stream. As proven by results, we achieve state-of-the-art performance, while running on a low computational resources embedded architecture.

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Ma, Dong Tao. "The Design of Embedded System Based on DaVinci DSP6467." Applied Mechanics and Materials 416-417 (September 2013): 1336–40. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1336.

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For application requirements of smart multimedia system, the paper design and implements system application framework and describes the function of each software module in the whole system. After description of the overall framework,paper analyze detailed implementation of several key software modules,that is supports SD and HD video signal, video capture module, object intrusion alarm motion detection module, audio and video multimedia processing synchronization mechanism, and web-based remote control module. And the article describes the main features of the DaVinci technology and DaVinci technology platform development, elaborated the DSP6467 DaVinci platform hardware structure which used in this paper.

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Cai, Zi Jian, and Zheng Hua Feng. "Research on Transmission Line Corridors Moving Target Video Detection Device." Advanced Materials Research 1008-1009 (August 2014): 785–89. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.785.

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The utility model provides a transmission line corridors video moving target detection apparatus for transmission line corridors fireworks warning judge, vehicle intrusion detection, construction machinery construction early warning detection and fires. Including: video detection module, embedded modules, communication modules and power supply modules. Video detection module will monitor video information transmitted via the communication module to the analysis and processing ARM-based embedded module, embedded module after the results after the data were processed packaged, transmitted to the communication module, is sent to the control center via 3G wireless communication network master. The utility model is the role: a moving target for the transmission line corridor monitoring, eliminating the presence of various risks and improve the operation and management level and intelligence transmission lines.

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Cheng, Chan Boon, and Asral Bahari Jambek. "SOC integration for video processing application." Bulletin of Electrical Engineering and Informatics 8, no. 1 (March 1, 2019): 223–30. http://dx.doi.org/10.11591/eei.v8i1.1396.

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Video processing is an additional system that can improve the functionality of video surveillance. Integration of a simple video processing system into a complete camera system with a field-programmable gate array (FPGA) is an important step for research, to further improve the tracking process. This paper presents the integration of greyscale conversion into a complete camera system using Nios II software build tools for Eclipse. The camera system architecture is designed using the Nios II soft-core embedded processor from Altera. The proposed greyscale conversion system is designed using the C programming language in Eclipse. Parts of the architecture design in the camera system are important if greyscale conversion is to take place in the processing, such as synchronous dynamic random-access memory (SDRAM) and a video decoder driver. The image or video is captured using a Terasic TRDB-D5M camera and the data are converted to RGB format using the video decoder driver. The converted data are shown in binary format and the greyscale conversion system extracts and processes the data. The processed data are stored in the SDRAM before being sent to a VGA monitor. The camera system and greyscale conversion system were developed using the Altera DE2-70 development platform. The data from the video decoder driver and SDRAM were examined to confirm that the data conversion matched greyscale conversion formulae. The converted data in the SDRAM correctly displayed the greyscale image on a VGA monitor.

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Yan, Ying Zhan, Ling Peng, and Song Fa Huang. "Design of Hi3510-Based Embedded Wireless Video Monitoring System." Advanced Materials Research 189-193 (February 2011): 3605–11. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.3605.

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To meet the needs of video monitoring applications, the paper researches and designs of Hi3510-based embedded wireless video monitoring systems.The systems uses H.264 for video data encoding, combining Hi3510 encoding API to adjust H.264 rate control dynamically. Based on real-time transmission control RTP / RTCP protocol, in order to achieve adaptability and guarantee the QoS of the real-time transmission, this paper presents variable constant growth and change constant reduction method to adjust the transmission speed dynamically. In addition, this paper processes the packet loss during transmission processing, trying to ensure the I-frame reliable transmission. To transplant DWL-G122 wireless network card, it can realize communication.

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Zhu, Ling, Xiao Long Wang, Pan Pan Zhang, Hong Xing Ma, and Lin Xing Wei. "The Design of Laboratory Management System Based on Embedded Video and Campus Card." Applied Mechanics and Materials 742 (March 2015): 625–30. http://dx.doi.org/10.4028/www.scientific.net/amm.742.625.

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In order to further strengthen the management of open laboratory in colleges and universities and improve the utilization rate of equipments, we design and develop a kind of laboratory management system based on embedded video and campus card. Among it, the video monitoring module combines with the embedded technology, image processing technology, internet communication technology and so on, which is used to achieve real-time display and remote video monitoring in the laboratory; campus card is used to implement the student identity authentication, laboratory access control and power supply management.

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Wu, Jin. "Research on Edge Detection Algorithm for Caption Extraction from Video Frames." Applied Mechanics and Materials 190-191 (July 2012): 1040–43. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.1040.

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Text area extraction from video caption has become an important tool for content-based video retrieval. Test object is frame data intercepted from video data. This paper proposes an algorithm of edge detection to extract caption text that embedded in the video frame by grayed processing. Experimental results have shown that the proposed approach is very effective in text area detection.

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Xiao, Chun Hua, Zhang Qin Huang, and Da Li. "An Embedded Multicore Platform Exploration in Video Application Utilizing FPGA." Advanced Materials Research 505 (April 2012): 329–37. http://dx.doi.org/10.4028/www.scientific.net/amr.505.329.

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Multi-processor is not a new technology, but with the development of modern silicon technology, it is possible to integrate multiple cores in a single chip package, which is called multicore processor. Whether in the desktop personal machine, or embedded applications, multicore processor has been a general trend, due to the requirement of high performance and design problems in single-core processor. Surrounded multi-screen provides a better sense of reality, which is widely used in the surveillance, military, exhibitions, and so on. With the advantages in parallel processing, multicore technology has an important practical significance and a broad prospect in these applications. In this paper, an exploration on multicore architecture is mainly focused on, from the perspectives of processing elements, memory hierarchy, and on-chip interconnection. A basic platform for multi-screen display is implemented on the Xilinx field programmable gate array (FPGA), and it illustrates that there is a 3.6 times higher performance than the corresponding single-core design, which provides a helpful guidance and revelation to further researches.

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18

Reibman, Amy R. "DCT-based embedded coding for packet video." Signal Processing: Image Communication 3, no. 2-3 (June 1991): 231–37. http://dx.doi.org/10.1016/0923-5965(91)90011-p.

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Gao, Jun, Hong Hui Zhu, and Bin Li. "Research of Automobile Collision Avoidance System Based on Video Image Processing." Applied Mechanics and Materials 734 (February 2015): 312–20. http://dx.doi.org/10.4028/www.scientific.net/amm.734.312.

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In this paper, an automobile collision avoidance system based on video image processing is proposed for vehicle active safety. Firstly, considering the requirement of real-time system, FPGA is responsible for the core task of video image processing. In the process, this paper introduces an image segmentation algorithm to extract the Region of Interest, a fast median filtering algorithm and an improved adaptive threshold Ostu segmentation algorithm. Secondly, in the design of alarm system, we use the STM32 chip which is based on Cortex-M3 kernel as the embedded platform. Finally, in order to analyze the data obtained by image processing and make smart decisions on the embedded platform, we establish a double parameter alarm mechanism of automobile security model. It can help the drivers to take appropriate hedging measures. The system in this paper has the characteristics of low cost, real-time and high reliability. Through the debugging and experiments, the system has reached the expected effect and met the requirements of automobile collision avoidance system.

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Budiyanta, Nova Eka, Catherine Olivia Sereati, and Ferry Rippun Gideon Manalu. "Processing time increasement of non-rice object detection based on YOLOv3-tiny using Movidius NCS 2 on Raspberry Pi." Bulletin of Electrical Engineering and Informatics 11, no. 2 (April 1, 2022): 1056–61. http://dx.doi.org/10.11591/eei.v11i2.3483.

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This study aims to increase the processing time of detecting non-rice objects based on the you only look once v3-tiny (YOLOv3-tiny) model. The system was developed on the Raspberry Pi 4 embedded system with the Movidius neural compute stick 2 (NCS 2) implementation approach. Data object in the form of gravel on a bunch of rice in the video. The video data was obtained using a webcam with a resolution of 1920 x 1080 pixels with a total of 2759 frames. From the test results, frames per second (FPS) have increased by 1.27x in the Movidius NCS 2 implementation compared to processing using the central processing unit (CPU) from the Raspberry Pi 4. The object detection processing on video data is complete at 1871.408 seconds with 1.474 FPS using the CPU from the Raspberry Pi 4 and finished at 1477.141 seconds with 1.868 FPS using Movidius NCS 2. From these differences, it can be seen that the application of Movidius NCS 2 succeeded in increasing the object detection processing in this study by 26.69% with the YOLOv3-tiny model approach on the Raspberry Pi 4 embedded system.

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Han, Zhiyuan, Jian Shen, Dandan Luo, Bo Gao, HuaQi Chen, and Jin Xie. "The Optimization Of The Distributed AI Embedded Cluster System." Journal of Physics: Conference Series 2195, no. 1 (February 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2195/1/012010.

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Abstract This paper improves the core functions of the real-time video analysis system for edge computing which we proposed before. The improvement of this paper including distributed cluster status management and two-level horizontal expansion. The three-level task scheduling mechanism is realized, and the complete data link processing is realized. At the same time, RK3399pro is proposed to replace RK3399 as the hardware computing unit of the AI business. On the premise of satisfying real-time processing, the computing unit resources are saved. Compared with our previous system, the processing capacity of the new system is improved by 6-8 times.

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Meng, Hongying, Michael Freeman, Nick Pears, and Chris Bailey. "Real-time human action recognition on an embedded, reconfigurable video processing architecture." Journal of Real-Time Image Processing 3, no. 3 (February 14, 2008): 163–76. http://dx.doi.org/10.1007/s11554-008-0073-1.

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Li, Jing, Yun Fei Bai, and Jin Long He. "Design and Implementation of Embedded Video Surveillance System Based on Human Detection." Applied Mechanics and Materials 513-517 (February 2014): 4535–38. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4535.

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In order to get information timely when elderly people fall down and need assistance, a kind of intelligent video surveillance system is designed and implemented. By using this system, the elderly dont need to wear any device. The H.264 video standard, the embedded technology, network technology, video surveillance technology and image processing technology are mixed used to detect human gesture in the video stream monitored. This system updates the background by the Gauss mixture model. The moving target is segmented by using the background subtraction algorithm. Experiments show that the system can be remote monitoring and detecting attitude. When the people falls down the system can automatically alarm, and satisfy the requirement of the timeliness, accuracy and stability.

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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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Xiao, W. H., X. Wan, Z. M. Zhang, R. Liu, and X. Y. Lu. "Design and Realization Real-time Edge Detection System Based on DM642." Advanced Materials Research 216 (March 2011): 233–37. http://dx.doi.org/10.4028/www.scientific.net/amr.216.233.

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This paper introduces the design of a DSP-based video image acquisition and real-time processing system. In this paper, as the main embedded processor TMS320DM642 build real-time edge detection hardware platform. TVP5150PBS video decoder is adopted to acquire video signal and data stream ,and CPLD device is configured for system logic Control, achieve real-time video image acquisition and processing. Experiments show that the system can effectively carry out edge detection, to meet the real-time. The research is supported by the Key Laboratory of Nondestructive Test Ministry of Education. The author appreciates the state natural science fund(60577016), Aero-Science fund (2009ZD56008) and province fund (2009GZW00251).

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Zhu, Yu, Shun Liang Mei, and Jian Le. "Co-Processing Strategies for Feature Detecting in Smart Video Sensor." Applied Mechanics and Materials 610 (August 2014): 320–24. http://dx.doi.org/10.4028/www.scientific.net/amm.610.320.

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To assist man who is blind or visually impaired on the navigation, a vision system depending upon the DM3730 as the core is developed, which can provide accurate information regarding the environment surrounding the patients. As one part of the project, the feature detection module must be suitable for an embedded implementation, hardware parallelisms and algorithmic modifications need. The Harris detection is chosen as the main algorithm of this module. The experimental results show that the precision and speed of feature extraction are both better than of the PC platform.

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TSAPATSOULIS, NICOLAS, KONSTANTINOS RAPANTZIKOS, and CONSTANTINOS PATTICHIS. "AN EMBEDDED SALIENCY MAP ESTIMATOR SCHEME: APPLICATION TO VIDEO ENCODING." International Journal of Neural Systems 17, no. 04 (August 2007): 289–304. http://dx.doi.org/10.1142/s0129065707001147.

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In this paper we propose a novel saliency-based computational model for visual attention. This model processes both top-down (goal directed) and bottom-up information. Processing in the top-down channel creates the so called skin conspicuity map and emulates the visual search for human faces performed by humans. This is clearly a goal directed task but is generic enough to be context independent. Processing in the bottom-up information channel follows the principles set by Itti et al. but it deviates from them by computing the orientation, intensity and color conspicuity maps within a unified multi-resolution framework based on wavelet subband analysis. In particular, we apply a wavelet based approach for efficient computation of the topographic feature maps. Given that wavelets and multiresolution theory are naturally connected the usage of wavelet decomposition for mimicking the center surround process in humans is an obvious choice. However, our implementation goes further. We utilize the wavelet decomposition for inline computation of the features (such as orientation angles) that are used to create the topographic feature maps. The bottom-up topographic feature maps and the top-down skin conspicuity map are then combined through a sigmoid function to produce the final saliency map. A prototype of the proposed model was realized through the TMDSDMK642-0E DSP platform as an embedded system allowing real-time operation. For evaluation purposes, in terms of perceived visual quality and video compression improvement, a ROI-based video compression setup was followed. Extended experiments concerning both MPEG-1 as well as low bit-rate MPEG-4 video encoding were conducted showing significant improvement in video compression efficiency without perceived deterioration in visual quality.

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Cheng, Wan Sheng, Zhen He Fu, and Shu Xia Leng. "Implementation of Remote Monitoring System Based on S3C2440." Applied Mechanics and Materials 623 (August 2014): 278–82. http://dx.doi.org/10.4028/www.scientific.net/amm.623.278.

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To achieve a monitoring system indoor, design a network video surveillance system which based ARM9 processor. The system uses the S3C2440,which produced by Samsung Corporation as the processing chip of the network video surveillance systems, and the USB camera as a video capture device, connecting to the Internet via a wired way. This paper describes an embedded operating system migration and programming, as well as MJPG-steamer video server software compiler and transplantation in detail. Experimental results show that the system is stable, while the video is clear and smooth.

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Norell, Håkan, Najeem Lawal, and Mattias O'Nils. "Automatic Generation of Spatial and Temporal Memory Architectures for Embedded Video Processing Systems." EURASIP Journal on Embedded Systems 2007 (2007): 1–10. http://dx.doi.org/10.1155/2007/75368.

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Norell, Håkan, Najeem Lawal, and Mattias O'Nils. "Automatic Generation of Spatial and Temporal Memory Architectures for Embedded Video Processing Systems." EURASIP Journal on Embedded Systems 2007, no. 1 (2007): 075368. http://dx.doi.org/10.1186/1687-3963-2007-075368.

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Ahmad, Awais, Marco Anisetti, Ernesto Damiani, and Gwanggil Jeon. "Special issue on real-time image and video processing in mobile embedded systems." Journal of Real-Time Image Processing 16, no. 1 (December 8, 2018): 1–4. http://dx.doi.org/10.1007/s11554-018-0842-4.

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Bai, Wei, and Chen Yuan Hu. "A Novel Embedded System Architecture for Fire Detection Based on Image Processing." Applied Mechanics and Materials 608-609 (October 2014): 454–58. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.454.

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This paper presents novel logic/software co-work architecture for embedded high definition image processing platform, which is built by the considerations of system level, board hardware level, and the tasks partition between CPU processing and programmable logic based on the latest launched System on Chip Field Programmable Gate Array (Soc FPGA) – Xilinx ZC7020. For this case, we comprehensive analyze of the critical data paths: the uniform Advanced Extensible Interface (AXI) processing between processing system (PS) and processing logic (PL), including high definition video pass through PL to PS and PS software processing send to PL for speed up. We have included the transplant of opensource Linux, multiprocessing cooperative control and boot loader in PS side. Since the general platform is proposed, a fire detection approach based on high definition image processing is implemented. Experiment results indicated the feasibility and universality of the embedded system architecture.

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Martin, Jon, David Cantero, Maite González, Andrea Cabrera, Mikel Larrañaga, Evangelos Maltezos, Panagiotis Lioupis, et al. "Embedded Vision Intelligence for the Safety of Smart Cities." Journal of Imaging 8, no. 12 (December 14, 2022): 326. http://dx.doi.org/10.3390/jimaging8120326.

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Advances in Artificial intelligence (AI) and embedded systems have resulted on a recent increase in use of image processing applications for smart cities’ safety. This enables a cost-adequate scale of automated video surveillance, increasing the data available and releasing human intervention. At the same time, although deep learning is a very intensive task in terms of computing resources, hardware and software improvements have emerged, allowing embedded systems to implement sophisticated machine learning algorithms at the edge. Additionally, new lightweight open-source middleware for constrained resource devices, such as EdgeX Foundry, have appeared to facilitate the collection and processing of data at sensor level, with communication capabilities to exchange data with a cloud enterprise application. The objective of this work is to show and describe the development of two Edge Smart Camera Systems for safety of Smart cities within S4AllCities H2020 project. Hence, the work presents hardware and software modules developed within the project, including a custom hardware platform specifically developed for the deployment of deep learning models based on the I.MX8 Plus from NXP, which considerably reduces processing and inference times; a custom Video Analytics Edge Computing (VAEC) system deployed on a commercial NVIDIA Jetson TX2 platform, which provides high level results on person detection processes; and an edge computing framework for the management of those two edge devices, namely Distributed Edge Computing framework, DECIoT. To verify the utility and functionality of the systems, extended experiments were performed. The results highlight their potential to provide enhanced situational awareness and demonstrate the suitability for edge machine vision applications for safety in smart cities.

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ECHIZEN, ISAO, YASUHIRO FUJII, TAKAAKI YAMADA, SATORU TEZUKA, and HIROSHI YOSHIURA. "PERCEPTUALLY ADAPTIVE VIDEO WATERMARKING USING MOTION ESTIMATION." International Journal of Image and Graphics 05, no. 01 (January 2005): 89–109. http://dx.doi.org/10.1142/s0219467805001677.

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Video watermarks must maintain picture quality and withstand image processing, and resolving the tradeoff between these conflicting requirements has been one of the central problems in research on video watermarking. This paper shows that watermarks are less perceptible where picture contents are moving and proposes a new criterion for measuring watermark imperceptibility from motion vectors and deformation quantities. It also proposes a watermarking method that uses this criterion to allocate watermarks to picture areas adaptively. Experimental evaluation showed that the proposed method reduces degradation in picture quality and that, for the same picture quality after MPEG encoding and decoding, between 30% and 40% more watermarks can be embedded, improving detection reliability after MPEG processing by an average of 9.5%. The proposed method would be most effective when used with MPEG encoders because they already have the necessary motion estimation functions.

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Zhao, Hongwei, Weishan Zhang, Haoyun Sun, and Bing Xue. "Embedded Deep Learning for Ship Detection and Recognition." Future Internet 11, no. 2 (February 21, 2019): 53. http://dx.doi.org/10.3390/fi11020053.

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Ship detection and recognition are important for smart monitoring of ships in order to manage port resources effectively. However, this is challenging due to complex ship profiles, ship background, object occlusion, variations of weather and light conditions, and other issues. It is also expensive to transmit monitoring video in a whole, especially if the port is not in a rural area. In this paper, we propose an on-site processing approach, which is called Embedded Ship Detection and Recognition using Deep Learning (ESDR-DL). In ESDR-DL, the video stream is processed using embedded devices, and we design a two-stage neural network named DCNet, which is composed of a DNet for ship detection and a CNet for ship recognition, running on embedded devices. We have extensively evaluated ESDR-DL, including performance of accuracy and efficiency. The ESDR-DL is deployed at the Dongying port of China, which has been running for over a year and demonstrates that it can work reliably for practical usage.

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Aslinezhad, Mehdi, Massoud Hosseinzadeh, and Farsad Heidari. "Designed and Implementing of Quadcopter Control Unit Capable of Tracking and Detecting Airplanes Types." International Journal of Engineering & Technology 9, no. 1 (January 11, 2020): 26. http://dx.doi.org/10.14419/ijet.v9i1.30188.

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The goal of this study is to design and implement a new idea for air-launched quadcopter control unit using the digital video processing. In this study, it’s endeavored to transmit the captured videos by a camera embedded on the quadcopter via video transceiver and after pro-cessing, the ground station relays appropriate command to the quadcopter to tracking target. Moreover, it’s desired to detect a target in the sky and both stay in one direction until detect the target when intercepting toward the target and the quadcopter intercepts the target in every direction. In order to identify the type of aerial targets, the dimensions are studied at different intervals, which makes military and non - military goals detected at different intervals.

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Huan, Shi Yu. "The System Design of Wireless Video Transmission Based on PTZ Control." Advanced Materials Research 1006-1007 (August 2014): 723–26. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.723.

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Along with the rapid expansion of automation, communication, the Internet of things technology, and video image processing technology, the wireless video transmission technology based on the embedded system is becoming increasingly more mature. In this paper, what has been designed and managed to be perfectly applied is a transmission system of high reliability and convenience which based on the technique of pan-tilt control and integrated the technology of wireless LAN, embedded technology, video transmission technology. The paper briefly introduces the research background of the system, current research status at home and abroad, the development trend and the significance of this design project. What is more is that the article goes through the hardware and software design of the pan-tilt control circuit and software of real-time video transmission in a detailed way. The biggest is that this project has made the real-time video transmission in the local area network came true and you can check the real-time dynamic video images by browsing the web through you mobile phone.

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Li, Peng, Yu Lu, Shen Li, and Hongxing Wei. "Realization of Embedded Multimedia System Based On Dual-Core Processor OMAP5910." International Journal of Computers Communications & Control 1, no. 4 (October 1, 2006): 85. http://dx.doi.org/10.15837/ijccc.2006.4.2310.

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This paper focuses on the realization of a complete embedded system using the dual-core processor OMAP5910. Detailed description of how to compose the hardware system is presented with a description of the software system on our platform. Tasks communication between the two cores is realized using the DSP driver. The system bootloader and the DSP bootloader are described in detail. The implementation of the MPEG-4 video decoder has been realized on the presented system. Higher speed can be achieved and less power is needed for MPEG-4 video processing on the dual-core platform. This dual-core system can be applied to 3G wireless communication, robot control and vision systems.

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Li, Le, Zhi-hui Xiong, Bin Wang, Mao-jun Zhang, and Li-dong Chen. "High-Speed Data Communication Between DSP and FPGA in Embedded Panoramic Video Processing System." JOURNAL OF ELECTRONICS INFORMATION & TECHNOLOGY 32, no. 3 (April 20, 2010): 649–54. http://dx.doi.org/10.3724/sp.j.1146.2009.00329.

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Jiang, Zhiying, Chong Guan, Meilin Zhang, and Ivo L. de Haaij. "CONGRUITY AND PROCESSING FLUENCY: AN ANALYSIS ON THE EFFECTIVENESS OF EMBEDDED ONLINE VIDEO ADVERTISING." Global Fashion Management Conference 2018 (July 30, 2018): 737–42. http://dx.doi.org/10.15444/gmc2018.06.08.02.

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Li, Yiran, Guiqiang Dong, and Tong Zhang. "Joint Source-Channel Coding and Channelization for Embedded Video Processing With Flash Memory Storage." IEEE Transactions on Signal Processing 60, no. 8 (August 2012): 4403–14. http://dx.doi.org/10.1109/tsp.2012.2197207.

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Jaskolka, Karina, Jürgen Seiler, Frank Beyer, and André Kaup. "A Python-based laboratory course for image and video signal processing on embedded systems." Heliyon 5, no. 10 (October 2019): e02560. http://dx.doi.org/10.1016/j.heliyon.2019.e02560.

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Ahuja, Rakesh, Sachin Ahuja, Deepali Gupta, and Mohd Junedul Haque. "Compressed domain based robust digital video watermarking scheme to protect the copyright." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (February 1, 2021): 1160. http://dx.doi.org/10.11591/ijeecs.v21.i2.pp1160-1167.

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<p><span>Digital video watermarking is an effective way to protect the ownership of the multimedia contents. A novel compressed domain based digital video watermarking algorithm scheme is proposed by exploiting MPEG-2 structure. Watermark bits are embedded in DC and AC coefficients both of only smooth discrete cosine transform (DCT) blocks from selected I-frames in the original digital video. The algorithms never exploited entire frames but explore only three location from the subset of DCT blocks from the subgroup of I-frames only. This process maintains the perceptibility of the watermarked video. Two parameters, normalized correlation (NC) and bit error rate (BER) are used to evaluate the degree of similarity and dissimilarity respectively to check the robustness against image processing and video specific intentional and non-intentional attacks. The security of embedded watermark is enhanced by applying three cryptographic keys. The experimental results demonstrated that the better robustness and perceptibility achieved by comparing the results with the state of art. </span></p>

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Son Nguyen, Minh, The Tung Than, Tri Nhut Do, and Hoai Nhan Nguyen. "Design of elderly-assistant mobile servant robot." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (June 1, 2022): 1338. http://dx.doi.org/10.11591/ijeecs.v26.i3.pp1338-1350.

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<span lang="EN-US">Recently, <span>elderly population increasing worldwide has put higher pressure on health-care providers and their families. The advent of elderly care robots will reduce that pressure. In this paper, a design of mobile servant robot with integrated tracking algorithm in order to assist the elderly by companionship is proposed not only to help families take care of their elderly at home but also reduce the pressure on health-care providers. The proposed robot is based on humanoid structure and AI-embedded-GPU controller. The design allows the robot to follow the elderly and accompany them in real-time. In addition, the video streaming algorithm with the pipeline mechanism is integrated on robot controllers so that the owner interacts with the elderly through the internet. The robot controller is embedded into hardware of 128 graphics processing unit cores and 4 ARM Cortex-A9 cores in order to execute convolutional neural network (NCNN) algorithms for elderly recognition and body tracking. The processing speed at 14 fps of video stream in real-time. The proposed robot can move on uneven surfaces with a speed at 0.21 m/s and an accuracy over 90%. However, the video stream processing speed is able to be reduced at 15 fps and latency less than 415 ms when four users appear concurrently.</span></span>

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Chen, J., and K. J. Ray Liu. "Efficient architecture and design of an embedded video coding engine." IEEE Transactions on Multimedia 3, no. 3 (September 2001): 285–97. http://dx.doi.org/10.1109/6046.944473.

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Hu, Shan Shan, and Fang Liu. "Video Watermarking Scheme against Geometrical Distortions." Applied Mechanics and Materials 347-350 (August 2013): 2151–55. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2151.

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A new video watermarking scheme against geometric distortions is proposed, which is most suitable for DCT-encoded compressed video, like MPEG-2, MPEG-4, H.264, etc. To lower the computational cost, 2-D DFT coefficients are constructed directly from the block DCTs by exploiting a fast inter-transformation. Then a watermark is embedded in a RST (rotation, scaling, and translation) invariant domain generated by performing the Fourier-Mellin transform (FMT) on the 2-D DFT magnitudes. For resisting different video format conversion, the watermark detection is performed in the spatial domain. The experimental results show that the proposed scheme is transparent and robust to typical signal processing attacks, lots of commonly geometric distortions including scaling, rotation and some combination of several attacks, and frame dropping.

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Goncalves, Paulo, Candido Moraes, Marcelo Porto, and Guilherme Correa. "Complexity-Aware TZS Algorithm for Mobile Video Encoders." Journal of Integrated Circuits and Systems 14, no. 3 (December 27, 2019): 1–9. http://dx.doi.org/10.29292/jics.v14i3.60.

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Video applications are significantly growing in the last years, especially in embedded/mobile systems. Modern video compression algorithms and standards, such as the High Efficiency Video Coding (HEVC), achieved a high efficiency in compression ratio. However, such efficiency has caused an augment on the complexity to encode videos. This is a serious problem especially in mobile systems, which present restrictions on processing and energy consumption. This paper presents an enhanced Test Zone Search (TZS) algorithm, aiming at complexity reduction of the Motion Estimation (ME) process in the HEVC standard and focusing efficient hardware design for mobile encoders. The proposed algorithm is composed of two strategies: an early termination scheme for TZS, called e-TZS, and the Octagonal-Axis Raster Search Pattern (OARP). When combined and implemented in the HEVC reference encoder, the strategies allowed an average complexity reduction of 75.16% in TZS, with a negligible BD-rate increase of only 0.1242% in comparison to the original algorithm. Besides, the approach presents an average block matching operation reduction of 80%, allowing hardware simplification and decreasing memory access.

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Liu, Tao, and Dai Qin Tao. "Algorithm to Eliminate the Influence on Multi-Frame Average from Date-and-Time Words OSD in Video Surveillance by Matlab." Applied Mechanics and Materials 462-463 (November 2013): 385–90. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.385.

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Normal image processing, combined with automatic Matlab program, gives a way to deal with embedded date-and-time OSD in video surveillance. It has eliminated the influence on multi-frame averaging from date-and-time words occlusion. Results are applied in real cases and superior to ordinary multi-frame average method.

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Cho, Sungdae, and William A. Pearlman. "Error resilience and recovery in streaming of embedded video." Signal Processing 82, no. 11 (November 2002): 1545–58. http://dx.doi.org/10.1016/s0165-1684(02)00301-8.

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Wu, Mingquan, Shirish S. Karande, and Hayder Radha. "Network-embedded FEC for optimum throughput of multicast packet video." Signal Processing: Image Communication 20, no. 8 (September 2005): 728–42. http://dx.doi.org/10.1016/j.image.2005.05.002.

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