By Wen Gao, Siwei Ma
This e-book offers an summary of the cutting-edge in video coding know-how. in particular, it introduces the instruments of the AVS2 average, describing how AVS2 may also help to accomplish an important development in coding potency for destiny video networks and purposes through incorporating smarter coding instruments similar to scene video coding. gains: introduces the elemental thoughts in video coding, and offers a quick heritage of video coding know-how and criteria; studies the coding framework, major coding instruments, and syntax constitution of AVS2; describes the foremost applied sciences utilized in the AVS2 ordinary, together with prediction coding, remodel coding, entropy coding, and loop-filters; examines effective instruments for scene video coding and surveillance video, and the main points of a promising clever video coding method; discusses optimization applied sciences in video coding platforms; offers a evaluate of photo, video, and 3D content material caliber review algorithms; surveys the recent learn themes in video compression.
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Extra resources for Advanced Video Coding Systems
5 Summary In this chapter, we have introduced some basic knowledge about video coding, including color space, video format, video coding tools, and quality measurement. They are not independent but closely related to each other. Color space provides the representation of the captured image signal. The color space conversion from RGB to YUV with UV downsampled is also an efficient way of data reduction. As the input source of a video codec, it also affects the development of coding tools. Moreover, the quality metric is not only an issue of quality evaluation, but also closely related to the selection of coding tools.
Springer International Publishing Switzerland 2014 W. Gao and S. 1007/978-3-319-14243-2_3 35 36 3 An Overview of AVS2 Standard Fig. 1 Coding framework of AVS2 Related with the prediction structure, transform block size is more flexible and can be up to 64 × 64 pixels. In AVS2, a CU (coding unit), PU (prediction unit) and TU (transform unit)-based coding/prediction/transform structure is adopted to represent Fig. 2 a Maximum possible recursive CU structure in AVS2. 1 Introduction 37 and organize the encoding data (Yu et al.
1997) proposed a long-term memory scheme that used up to 50 previously decoded frames to determine the best motion vector. In addition, Puri et al. , the forward and backward frames. It can achieve higher compression ratio by more effectively exploiting the correlation between reference pictures and current B picture, especially for copping with occlusion, uncovering problem caused by zooming, nonlinear motion, and so on. The B picture is further generalized by linearly combining motion-compensated signals regardless of the reference picture selection, which is referred to as multihypothesis motion-compensated prediction (Flierl and Girod 2003).