By Ce Zhu, Yuenan Li
Wireless video communications surround a huge variety of matters and possibilities that function the catalyst for technical suggestions. To disseminate the newest advances during this demanding but fascinating box, Advanced Video Communications over instant Networks presents an in-depth examine the basics, contemporary technical achievements, demanding situations, and rising tendencies in cellular and instant video communications.
The editors have conscientiously chosen a panel of researchers with services in various features of instant video verbal exchange to hide a large spectrum of issues, 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 platforms, in addition to a few novel instructions. They tackle destiny instructions, together with Quality-of-Experience in instant video communications, video communications over destiny networks, and 3D video communications.
The publication offers a suite of tutorials, surveys, and unique contributions, offering an updated, available reference for extra improvement of study and purposes in cellular and instant video conversation structures. the diversity of insurance and intensity of workmanship make this publication the go-to source for dealing with present and destiny demanding situations during this field.
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Additional info for Advanced video communications over wireless networks
For example, one Encoder WZ Wyner-Ziv encoder frames Transform. Quant. Extract bitplanes Decoder Channel coding Buffer Wyner-Ziv decoder ReconChannel decoding struction Feedback requests Intra encoder Decoded WZ frames Transform. Y Intra frames Inverse transform. 5 Typical architecture of a transform-domain distributed video codec. Decoded intra frames 34 Advanced Video Communications over Wireless Networks coefficient band will contain all first coefficients of each block. Next, the coefficients in one coefficient band are quantized using a scalar quantizer.
Control parameter αRD should be dynamically adjusted to the channel error conditions to maximize the decoded quality. 5 shows the decoded video quality, in terms of PSNR, versus the αRD parameter for several PLRs for the Mother and Daughter sequence (QCIF, 10 Hz) encoded at 64 kbit/s. Clearly, for each PLR condition, there is an αRD value that maximizes the decoded video quality. 2. 47 dB. 2 Intra/Inter Mode Decision with Network-Aware α RD Selection A possible approach to address the problem of adapting the αRD parameter to the channel error conditions is to use the information in the receiver reports (RR) of the real-time transport protocol (RTP) control protocol (RTCP)  to provide the encoder with the actual error characteristics of the underlying network.
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. These results were extended to lossy compression by Aaron D. Wyner and Jacob Ziv . 2 Graphical representation of the achievable rate region. 3 (Lossless) source coding with side information available at the decoder. , lower bit rates). Denote the acceptable distortion between the original signal X and the decoded signal X′ as D = E[d(X, X′)], where d is a specific distortion metric (such as the mean-squared error).