Implementation and Analysis of Video Error Reconcealment Method: Steps towards High Quality Visual Experience - Softcover
Synopsis
The use of the Internet and wireless networks to bring multimedia to the consumer continues to expand. With advancement in network technology, requirement for video streaming application is on the rise. In video streaming applications, the quality of service is usually not insured to reduce delay. The after effect of this approach is that there may be damage of a packet during video transmission which can corrupt block of data or even an entire video frame. Generally, User Datagram Protocol (UDP) is used which does not provide assured quality of service (QoS) in video transmission technology. Therefore, there is a requirement for video error reconcealment. The proposed method estimates missing block using reconstructed frame and the next frame for each pixel in the lost frame. Fast processing method to satisfy video latency requirements and low power requirements as devices are limited on battery power supply. Hence, it requires a fast, robust and simple algorithm for error reconcealment. Combination of wavelet transforms and spatio-temporal is implemented.
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About the Author
Dr. Aniruddha D. Shelotkar, Ph.D. from S. G. B. Amravati University, Amravati, Maharashtra, India in Electronics and Telecommunication Engineering.Dr. Prashant V. Ingole, Ph.D. from Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India in Electronics and Telecommunication Engineering.
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Implementation and Analysis of Video Error Reconcealment Method
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ISBN 13: 9783659847530
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of the Internet and wireless networks to bring multimedia to the consumer continues to expand. With advancement in network technology, requirement for video streaming application is on the rise. In video streaming applications, the quality of service is usually not insured to reduce delay. The after effect of this approach is that there may be damage of a packet during video transmission which can corrupt block of data or even an entire video frame. Generally, User Datagram Protocol (UDP) is used which does not provide assured quality of service (QoS) in video transmission technology. Therefore, there is a requirement for video error reconcealment. The proposed method estimates missing block using reconstructed frame and the next frame for each pixel in the lost frame. Fast processing method to satisfy video latency requirements and low power requirements as devices are limited on battery power supply. Hence, it requires a fast, robust and simple algorithm for error reconcealment. Combination of wavelet transforms and spatio-temporal is implemented. 196 pp. Englisch. Seller Inventory # 9783659847530
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Implementation and Analysis of Video Error Reconcealment Method
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shelotkar AniruddhaDr. Aniruddha D. Shelotkar, Ph.D. from S. G. B. Amravati University, Amravati, Maharashtra, India in Electronics and Telecommunication Engineering.Dr. Prashant V. Ingole, Ph.D. from Visvesvaraya National Institute. Seller Inventory # 385769790
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Implementation and Analysis of Video Error Reconcealment Method: Steps towards High Quality Visual Experience
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Implementation and Analysis of Video Error Reconcealment Method
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The use of the Internet and wireless networks to bring multimedia to the consumer continues to expand. With advancement in network technology, requirement for video streaming application is on the rise. In video streaming applications, the quality of service is usually not insured to reduce delay. The after effect of this approach is that there may be damage of a packet during video transmission which can corrupt block of data or even an entire video frame. Generally, User Datagram Protocol (UDP) is used which does not provide assured quality of service (QoS) in video transmission technology. Therefore, there is a requirement for video error reconcealment. The proposed method estimates missing block using reconstructed frame and the next frame for each pixel in the lost frame. Fast processing method to satisfy video latency requirements and low power requirements as devices are limited on battery power supply. Hence, it requires a fast, robust and simple algorithm for error reconcealment. Combination of wavelet transforms and spatio-temporal is implemented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch. Seller Inventory # 9783659847530
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Implementation and Analysis of Video Error Reconcealment Method | Steps towards High Quality Visual Experience
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Taschenbuch. Condition: Neu. Implementation and Analysis of Video Error Reconcealment Method | Steps towards High Quality Visual Experience | Aniruddha Shelotkar (u. a.) | Taschenbuch | 196 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659847530 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 110148750
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Implementation and Analysis of Video Error Reconcealment Method : Steps towards High Quality Visual Experience
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659847534
ISBN 13: 9783659847530
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of the Internet and wireless networks to bring multimedia to the consumer continues to expand. With advancement in network technology, requirement for video streaming application is on the rise. In video streaming applications, the quality of service is usually not insured to reduce delay. The after effect of this approach is that there may be damage of a packet during video transmission which can corrupt block of data or even an entire video frame. Generally, User Datagram Protocol (UDP) is used which does not provide assured quality of service (QoS) in video transmission technology. Therefore, there is a requirement for video error reconcealment. The proposed method estimates missing block using reconstructed frame and the next frame for each pixel in the lost frame. Fast processing method to satisfy video latency requirements and low power requirements as devices are limited on battery power supply. Hence, it requires a fast, robust and simple algorithm for error reconcealment. Combination of wavelet transforms and spatio-temporal is implemented. Seller Inventory # 9783659847530