By Ce Zhu, Yuenan Li
Wireless video communications surround a wide variety of matters and possibilities that function the catalyst for technical suggestions. To disseminate the latest advances during this not easy but intriguing box, Advanced Video Communications over instant Networks offers an in-depth examine the basics, contemporary technical achievements, demanding situations, and rising developments in cellular and instant video communications.
The editors have rigorously chosen a panel of researchers with services in varied features of instant video communique to hide a large spectrum of subject matters, together with the underlying theoretical basics linked to instant video communications, the transmission schemes adapted to cellular and instant networks, caliber metrics, the architectures of functional structures, in addition to a few novel instructions. They deal with destiny instructions, together with Quality-of-Experience in instant video communications, video communications over destiny networks, and 3D video communications.
The booklet offers a set of tutorials, surveys, and unique contributions, supplying an up to date, available reference for extra improvement of study and functions in cellular and instant video conversation platforms. the variety of assurance and intensity of craftsmanship make this publication the go-to source for dealing with present and destiny demanding situations during this field.
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Extra info for Advanced video communications over wireless networks
Denotes the entropy. 2. While any point on the line H(X,Y) is equivalent from a compression point of view, special attention goes to the corner points of the achievable rate region. 3. This case is of particular interest in the context of current DVC solutions, where side information Y is generated at the decoder and used to decode X. According to the Slepian–Wolf theorem, the minimal rate required in this case is the conditional entropy H(X|Y). 2 Lossy Compression with Receiver Side Information (Wyner–Ziv) The work of Slepian and Wolf relates to lossless compression.
This has led to a complexity imbalance, in which the encoder is significantly more complex than the decoder. A radically different approach to video coding—called distributed video coding (DVC)—has emerged during the past decade. In DVC, the prediction is generated at the decoder instead of at the encoder. As this prediction— called side information—typically contains errors, additional information is sent from the encoder to the decoder to allow correcting the side information. Generating the prediction signal at the decoder shifts the computational burden from the encoder to the decoder side.
L. D. Soares, F. Pereira, Error resilience and concealment performance for MPEG-4 frame-based video coding, Signal Processing: Image Communication, 14(6–8), 447–472, May 1999. 11. A. K. Katsaggelos, F. Ishtiaq, L. P. -C. Hong, M. Banham, J. Brailean, Error resilience and concealment in video coding, Proceedings of the European Signal Processing Conference, Rhodes, Greece, pp. 221–228, September 1998. Y. Wang, S. Wenger, J. Wen, A. Katsaggelos, Error resilient video coding techniques IEEE Signal Processing Magazine, 17(4), 61–82, July 2000.