By Ce Zhu, Yuenan Li
Wireless video communications surround a large diversity of concerns and possibilities that function the catalyst for technical strategies. To disseminate the latest advances during this not easy but interesting box, Advanced Video Communications over instant Networks presents an in-depth examine the basics, fresh technical achievements, demanding situations, and rising developments in cellular and instant video communications.
The editors have conscientiously chosen a panel of researchers with services in varied points of instant video conversation 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 useful 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 publication provides a set of tutorials, surveys, and unique contributions, delivering an up to date, obtainable reference for extra improvement of study and purposes in cellular and instant video verbal exchange platforms. the diversity of insurance and intensity of craftsmanship make this booklet the go-to source for dealing with present and destiny demanding situations during this field.
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Extra resources for Advanced video communications over wireless networks
At the decoder, the realization y of the side information is available, meaning that estimating the correlation noise only involves estimating the distribution’s scale parameter α. In the early DVC systems, the decoder often obtained a suitable value for α through an offline training stage , or even by granting the decoder access to the original . However, these approaches are impractical or lack flexibility. Current techniques try to model the fact that the reliability of the side information varies across the frame, in the sense that some spatial regions may be well predicted while the accuracy of predicting other regions could be rather poor.
2]. , “transformation” instead of “DCT”) for the sake of this overview chapter. First, we will explain the operation of the encoder, followed by a description of the decoder. At the encoder, the video sequence is first partitioned into key frames and WZ frames. Both types of frames will be coded using different coding modes. 264/AVC intracoding). , 4 × 4), and each of these blocks is transformed using the discrete cosine transformation (DCT). Transformation coefficients at corresponding locations within one WZ frame are grouped together, into the so-called coefficient bands.
4. This solution has been adopted because at the time of writing no other network-aware intra refresh techniques, which adaptively take into account the current network conditions, were known. In the reference scheme, the optimal number of CIR MBs per frame is selected manually for the considered network conditions, while in the considered NIR solution, the selection of the amount of CIR MBs per frame and the αRD parameter is done fully automatically. 264/AVC Baseline Profile . 1. For QCIF, each frame was divided into three slices, while for CIF each frame was divided into six slices.