Relevant bibliographies by topics / Embedded video processing

Academic literature on the topic 'Embedded video processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Embedded video processing"

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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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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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Dissertations / Theses on the topic "Embedded video processing"

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Afonso, Tiago Emanuel Urze. "FPGA and multi-core embedded systems for video processing." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12678.

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Mestrado em Engenharia Electrónica e Telecomunicações
O presente trabalho apresenta técnicas de processamento digital de sinal, nomeadamente em processamento de vídeo, recorrendo a tecnologia FPGA. Consiste numa introdução teórica sobre tópicos tais como o papel da visão artificial nos dias de hoje, reconhecimento de imagem, e técnicas matemáticas de processamento e análise morfol ógica de imagem. Aborda o tema do papel das FPGAs na tecnologia actual, e as suas vantagens quando utilizadas no processamento digital de sinal. Finalmente e demonstrado e explicado o algoritmo implementado na FPGA para deteção de contornos no processamento de vídeo, concluindo com uma análise a nível da sua eficiência, e discussão de melhorias a fazer num possível trabalho futuro em termos de otimização de recursos utilizados e velocidade de processamento.
The present work presents techniques of digital signal processing, namely in video processing, using FPGA technology. It consists of a theoretical introduction about topics such as the role of artificial vision nowadays, image recognition and mathematical techniques of image processing and morphological analysis. It discusses the role of an FPGA in today's technology and its advantages when used in digital signal processing. Finally, it is demonstrated and explained the algorithm that was implemented in the FPGA for edge detection in video processing, concluding with an analysis in terms of efficiency, and discussion of improvements to do in a possible future work regarding the optimization of used resources and also of its processing speed.
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Kim, Jongmyon. "Architectural Enhancements for Color Image and Video Processing on Embedded Systems." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6948.

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As emerging portable multimedia applications demand more and more computational throughput with limited energy consumption, the need for high-efficiency, high-throughput embedded processing is becoming an important challenge in computer architecture. In this regard, this dissertation addresses application-, architecture-, and technology-level issues in existing processing systems to provide efficient processing of multimedia in many, or ideally all, of its form. In particular, this dissertation explores color imaging in multimedia while focusing on two architectural enhancements for memory- and performance-hungry embedded applications: (1) a pixel-truncation technique and (2) a color-aware instruction set (CAX) for embedded multimedia systems. The pixel-truncation technique differs from previous techniques (e.g., 4:2:2 and 4:2:0 subsampling) used in image and video compression applications (e.g., JPEG and MPEG) in that it reduces the information content in individual pixel word sizes rather than in each dimension. Thus, this technique drastically reduces the bandwidth and memory required to transport and store color images without perceivable distortion in color. At the same time, it maintains the pixel storage format of color image processing in which each pixel computation is performed simultaneously on 3-D YCbCr components, which are widely used in the image and video processing community. CAX supports parallel operations on two-packed 16-bit (6:5:5) YCbCr data in a 32-bit datapath processor, providing greater concurrency and efficiency for processing color image sequences. This dissertation presents the impact of CAX on processing performance and on both area and energy efficiency for color imaging applications in three major processor architectures: dynamically scheduled (superscalar), statically scheduled (very long instruction word, VLIW), and embedded single instruction multiple data (SIMD) array processors. Unlike typical multimedia extensions, CAX obtains substantial performance and code density improvements through direct support for color data processing rather than depending solely on generic subword parallelism. In addition, the ability to reduce data format size reduces system cost. The reduction in data bandwidth also simplifies system design. In summary, CAX, coupled with the pixel-truncation technique, provides an efficient mechanism that meets the computational requirements and cost goals for future embedded multimedia products.
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Thompson, Andrew D. "Design and Implementation of an Embedded H.264 Color Video Encoding Pipeline for a Mobile Processing Platform." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1462221103.

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Peters, Sara Jean. "Get in the game the effects of game-product and product placement proximity on game players' processing of brands embedded advergames /." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5756.

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Thesis (M.A.)--University of Missouri-Columbia, 2008.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 14, 2009) Includes bibliographical references.
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Gao, Peng. "Viewer-Aware Intelligent Mobile Video System for Prolonged Battery Life." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/31738.

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In the modern society, mobile is gradually going to become all about video streaming. The main reasons of video growth are mobile devices such as smartphones and tablets which enable people to have access to videos they would like to watch at anywhere and anytime. However, due to the large video data size and intensive computation, video processing leads to a huge power consumption. Mobile system designers typically focus on hardware-level power optimization techniques without considering how hardware performance interfaces with viewer experience. In my research, I investigated how viewing context factors affect mobile viewing experience. Furthermore, a viewer-aware intelligent mobile video system was designed to optimize power efficiency automatically in real-time according to the viewing context and maintain the same viewing experience. Our research opened a door for developments of future viewer-aware mobile system design, accelerating low-cost mobile devices with longer battery life.
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Wang, Jian. "An FPGA Based Software/Hardware Codesign for Real Time Video Processing : A Video Interface Software and Contrast Enhancement Hardware Codesign Implementation using Xilinx Virtex II Pro FPGA." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6173.

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Xilinx Virtex II Pro FPGA with integrated PowerPC core offers an opportunity to implementing a software and hardware codesign. The software application executes on the PowerPC processor while the FPGA implementation of hardware cores coprocess with PowerPC to achieve the goals of acceleration. Another benefit of coprocessing with the hardware acceleration core is the release of processor load. This thesis demonstrates such an FPGA based software and hardware codesign by implementing a real time video processing project on Xilinx ML310 development platform which is featured with a Xilinx Virtex II Pro FPGA. The software part in this project performs video and memory interface task which includes image capture from camera, the store of image into on-board memory, and the display of image on a screen. The hardware coprocessing core does a contrast enhancement function on the input image. To ease the software development and make this project flexible for future extension, an Embedded Operating System MontaVista Linux is installed on the ML310 platform. Thus the software video interface application is developed using Linux programming method, for example the use of Video4Linux API. The last but not the least implementation topic is the software and hardware interface, which is the Linux device driver for the hardware core. This thesis report presents all the above topics of Operating System installation, video interface software development, contrast enhancement hardware implementation, and hardware core’s Linux device driver programming. After this, a measurement result is presented to show the performance of hardware acceleration and processor load reduction, by comparing to the results from a software implementation of the same contrast enhancement function. This is followed by a discussion chapter, including the performance analysis, current design’s limitations and proposals for improvements. This report is ended with an outlook from this master thesis.

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Turabzadeh, Saeed. "Automatic emotional state detection and analysis on embedded devices." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/12072.

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From the last decade, studies on human facial emotion recognition revealed that computing models based on regression modelling can produce applicable performance. In this study, an automatic facial expression real-time system was built and tested. The method is used in this study has been used widely in different areas such as Local Binary Pattern method, which has been used in many research projects in machine vision, and the K-Nearest Neighbour algorithm is method utilized for regression modelling. In this study, these two techniques has been used and implemented on the FPGA for the first time, on the side and joined together to great the model in such way to display a continues and automatic emotional state detection model on the monitor. To evaluate the effectiveness of the classifier technique for human emotion recognition from video, the model was designed and tested on MATLAB environment and then MATLAB Simulink environment that is capable of recognizing continuous facial expression in real time with a rate of 1 frame per second and implemented on a desktop PC. It has been evaluated in a testing dataset and the experimental results were promising with the accuracy of 51.28%. The datasets and labels used in this study are made from videos which, recorded twice from 5 participants while watching a video. In order to implement it in real-time in faster frame rate, the facial expression recognition system was built on FPGA. The model was built on Atlys™ Spartan-6 FPGA Development Board. It can perform continuously emotional state recognition in real time at a frame rate of 30 with the accuracy of 47.44%. A graphic user interface was designed to display the participant video in real time and also two dimensional predict labels of the emotion at the same time. This is the first time that automatic emotional state detection has been successfully implemented on FPGA by using LBP and K-NN techniques in such way to display a continues and automatic emotional state detection model on the monitor.
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Liu, Junbin. "Distributed low-power image processing in wireless sensor networks for intelligent video surveillance applications." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/63311/1/Junbin_Liu_Thesis.pdf.

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Distributed Wireless Smart Camera (DWSC) network is a special type of Wireless Sensor Network (WSN) that processes captured images in a distributed manner. While image processing on DWSCs sees a great potential for growth, with its applications possessing a vast practical application domain such as security surveillance and health care, it suffers from tremendous constraints. In addition to the limitations of conventional WSNs, image processing on DWSCs requires more computational power, bandwidth and energy that presents significant challenges for large scale deployments. This dissertation has developed a number of algorithms that are highly scalable, portable, energy efficient and performance efficient, with considerations of practical constraints imposed by the hardware and the nature of WSN. More specifically, these algorithms tackle the problems of multi-object tracking and localisation in distributed wireless smart camera net- works and optimal camera configuration determination. Addressing the first problem of multi-object tracking and localisation requires solving a large array of sub-problems. The sub-problems that are discussed in this dissertation are calibration of internal parameters, multi-camera calibration for localisation and object handover for tracking. These topics have been covered extensively in computer vision literatures, however new algorithms must be invented to accommodate the various constraints introduced and required by the DWSC platform. A technique has been developed for the automatic calibration of low-cost cameras which are assumed to be restricted in their freedom of movement to either pan or tilt movements. Camera internal parameters, including focal length, principal point, lens distortion parameter and the angle and axis of rotation, can be recovered from a minimum set of two images of the camera, provided that the axis of rotation between the two images goes through the camera's optical centre and is parallel to either the vertical (panning) or horizontal (tilting) axis of the image. For object localisation, a novel approach has been developed for the calibration of a network of non-overlapping DWSCs in terms of their ground plane homographies, which can then be used for localising objects. In the proposed approach, a robot travels through the camera network while updating its position in a global coordinate frame, which it broadcasts to the cameras. The cameras use this, along with the image plane location of the robot, to compute a mapping from their image planes to the global coordinate frame. This is combined with an occupancy map generated by the robot during the mapping process to localised objects moving within the network. In addition, to deal with the problem of object handover between DWSCs of non-overlapping fields of view, a highly-scalable, distributed protocol has been designed. Cameras that follow the proposed protocol transmit object descriptions to a selected set of neighbours that are determined using a predictive forwarding strategy. The received descriptions are then matched at the subsequent camera on the object's path using a probability maximisation process with locally generated descriptions. The second problem of camera placement emerges naturally when these pervasive devices are put into real use. The locations, orientations, lens types etc. of the cameras must be chosen in a way that the utility of the network is maximised (e.g. maximum coverage) while user requirements are met. To deal with this, a statistical formulation of the problem of determining optimal camera configurations has been introduced and a Trans-Dimensional Simulated Annealing (TDSA) algorithm has been proposed to effectively solve the problem.
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Mitchell, Michael W. "The Effects of Embedded Question Type and Locus of Control on Processing Depth, Knowledge Gain, and Attitude Change in a Computer-Based Interactive Video Environment." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30299.

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The differential effectiveness of two types of adjunct embedded questions in facilitating deep processing, increased knowledge gain, and increased positive attitude change was examined in this two-session laboratory study. In session one, subjects completed a measure of locus of control (LOC) orientation, as well as measures of pretest knowledge and attitudes regarding drinking. Two weeks later, stratified assignment was used to place 33 subjects (ages 12 to 15) in one of the three levels of question condition (no questions, factual questions, and inference questions) to study a computer-based instructional program about alcohol education during the second session. Subjects assigned to either of the two embedded question conditions were asked to answer ten questions embedded between segments of interactive video. Depending on question condition, subjects were asked to provide factual information or draw inferences and conclusions regarding the previous video segment. After each question, subjects were asked to rate the amount of effort required to answer the preceding question. Control group subjects viewed interactive video without embedded questions or effort rating scales. Reaction-time trials were distributed throughout the multimedia program and were received by all subjects to establish a baseline reaction-time measure. Immediately following the instructional program, subjects completed posttest measures of knowledge and attitudes regarding alcohol. Results provided limited support for the hypothesis that embedded questions would facilitate positive attitude change; however, embedded questions did not appear to facilitate knowledge gain. Results also provided support for the hypothesis that subjects with internal LOC orientations would be associated with greater positive changes in knowledge gain. Other hypotheses related to depth of processing were not supported by the results of this study. No differences were observed between embedded question types on the reaction-time and mental effort rating measures of depth of processing. Furthermore, no differences were observed across LOC orientation on either of the depth of processing measures. A number of methodological issues are thought to have contributed to this limited support of the hypotheses in this study. These issues, and their potential impact and solutions are discussed with respect to future research.
Ph. D.
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Alagoda, Geoffrey N. "VLSI implementation of a massively parallel wavelet based zerotree coder for the intelligent pixel array." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2001. https://ro.ecu.edu.au/theses/1078.

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In the span of a few years, mobile multimedia communication has rapidly become a significant area of research and development constantly challenging boundaries on a variety of technologic fronts. Mobile video communications in particular encompasses a number of technical hurdles that generally steer technological advancements towards devices that are low in complexity, low in power usage yet perform the given task efficiently. Devices of this nature have been made available through the use of massively parallel processing arrays such as the Intelligent Pixel Processing Array. The Intelligent Pixel Processing array is a novel concept that integrates a parallel image capture mechanism, a parallel processing component and a parallel display component into a single chip solution geared toward mobile communications environments, be it a PDA based system or the video communicator wristwatch portrayed in "Dick Tracy" episodes. This thesis details work performed to provide an efficient, low power, low complexity solution surrounding the massively parallel implementation of a zerotree entropy codec for the Intelligent Pixel Array.
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Books on the topic "Embedded video processing"

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. Energy Efficient Embedded Video Processing Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-61455-7.

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Battiato, Sebastiano. Image processing for embedded devices: From CFA data to image/video coding. Edited by ebrary Inc. S.l.]: Bentham e Books, 2010.

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Digital Video Processing for Engineers: A Foundation for Embedded Systems Design. Elsevier Science & Technology Books, 2012.

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Shafique, Muhammad, Jörg Henkel, and Muhammad Usman Karim Khan. Energy Efficient Embedded Video Processing Systems: A Hardware-Software Collaborative Approach. Springer, 2018.

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Michael, Parker, and Suhel Dhanani. Digital Video Processing for Engineers: A Foundation for Embedded Systems Design. Elsevier Science & Technology, 2012.

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Shafique, Muhammad, Jörg Henkel, and Muhammad Usman Karim Khan. Energy Efficient Embedded Video Processing Systems: A Hardware-Software Collaborative Approach. Springer, 2017.

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Book chapters on the topic "Embedded video processing"

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. "Power-Efficient Video System Design." In Energy Efficient Embedded Video Processing Systems, 67–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61455-7_3.

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Honzík, Petr, Roman Bartosiński, Martin Daněk, Leoš Kafka, Lukáš Kohout, and Jaroslav Sýkora. "Video Processing: Foreground Recognition in the ASVP Platform." In Smart Multicore Embedded Systems, 159–75. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8800-2_9.

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. "Energy-Efficient Software Design for Video Systems." In Energy Efficient Embedded Video Processing Systems, 89–125. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61455-7_4.

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. "Energy-Efficient Hardware Design for Video Systems." In Energy Efficient Embedded Video Processing Systems, 127–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61455-7_5.

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. "Introduction." In Energy Efficient Embedded Video Processing Systems, 1–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61455-7_1.

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. "Background and Related Work." In Energy Efficient Embedded Video Processing Systems, 25–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61455-7_2.

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. "Experimental Evaluations and Discussion." In Energy Efficient Embedded Video Processing Systems, 175–200. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61455-7_6.

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Khan, Muhammad Usman Karim, Muhammad Shafique, and Jörg Henkel. "Conclusion and Future Outlook." In Energy Efficient Embedded Video Processing Systems, 201–9. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61455-7_7.

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Al-Kadi, Ghiath, and Andrei Sergeevich Terechko. "A Hardware Task Scheduler for Embedded Video Processing." In High Performance Embedded Architectures and Compilers, 140–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92990-1_12.

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Said, Yahia, Taoufik Saidani, Fethi Smach, Mohamed Atri, and Hichem Snoussi. "Embedded Real-Time Video Processing System on FPGA." In Lecture Notes in Computer Science, 85–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31254-0_10.

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Conference papers on the topic "Embedded video processing"

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Fu, Bo, Anup Mohan, Yifan Li, Sanghyun Cho, Kent Gauen, and Yung-Hsiang Lu. "Parallel video processing using embedded computers." In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2017. http://dx.doi.org/10.1109/globalsip.2017.8308597.

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Arva, Gabor, and Tomas Fryza. "Embedded video processing on Raspberry Pi." In 2017 27th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2017. http://dx.doi.org/10.1109/radioelek.2017.7937598.

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Alexandru, Coman, and Chiculita Claudiu. "Embedded system for video acquisition and processing." In 2009 15th International Symposium for Design and Technology of Electronics Packages (SIITME). IEEE, 2009. http://dx.doi.org/10.1109/siitme.2009.5407350.

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Gonnot, Thomas, and Jafar Saniie. "Embedded and modular video processing design platform." In 2014 IEEE International Conference on Electro/Information Technology (EIT). IEEE, 2014. http://dx.doi.org/10.1109/eit.2014.6871779.

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Lane, D. M., and E. Trucco. "Embedded Sonar & Video Processing for AUV Applications." In Offshore Technology Conference. Offshore Technology Conference, 2000. http://dx.doi.org/10.4043/12001-ms.

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Benet, Gines, Jose E. Simo, Gabriela Andreu-Garcia, Juan Rosell, and Jordi Sanchez. "Embedded low-level video processing for surveillance purposes." In 2010 3rd International Conference on Human System Interactions (HSI). IEEE, 2010. http://dx.doi.org/10.1109/hsi.2010.5514479.

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Claus, C., W. Stechele, M. Kovatsch, J. Angermeier, and J. Teich. "A comparison of embedded reconfigurable video-processing architectures." In 2008 International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2008. http://dx.doi.org/10.1109/fpl.2008.4630015.

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Ackermann, Kurt Franz, Burghard Hoffmann, Leandro Soares Indrusiak, and Manfred Glesner. "Enabling self-reconfiguration on a video processing platform." In 2008 International Symposium on Industrial Embedded Systems (SIES). IEEE, 2008. http://dx.doi.org/10.1109/sies.2008.4577676.

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Zhang, Weishan, Dehai Zhao, Liang Xu, Zhongwei Li, Wenjuan Gong, and Jiehan Zhou. "Distributed embedded deep learning based real-time video processing." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844524.

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Wang, Gang, and Jun Cheng. "Embedded Video Processing Based on Davinci Platform System Design." In 2nd International Conference on Computer Application and System Modeling. Paris, France: Atlantis Press, 2012. http://dx.doi.org/10.2991/iccasm.2012.106.

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