By Wen Gao, Siwei Ma
This ebook offers an outline of the cutting-edge in video coding know-how. in particular, it introduces the instruments of the AVS2 typical, 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 resembling scene video coding. positive aspects: introduces the elemental thoughts in video coding, and provides a brief historical past of video coding know-how and criteria; reports 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, rework 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 approach; discusses optimization applied sciences in video coding platforms; presents a assessment of picture, video, and 3D content material caliber evaluation algorithms; surveys the new study subject matters in video compression.
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Extra resources for Advanced Video Coding Systems
The third part introduces the syntax structure of AVS2, which would help the reader understand the AVS2 standard specification, and the last part concludes this chapter. 264 and AVS1 standards. The target applications of AVS2 include high quality broadcasting, low delay video communications, etc. , video surveillance, video conference, etc. In AVS2, a background picture model-based coding method was developed scene video coding, which will be detailed in Chap. 8. The background picture constructed from original pictures or decoded pictures is used as a reference picture to improve prediction efficiency.
To suppress those artifacts, deblocking filtering, sample adaptive offset (SAO) filtering (Chen et al. 2013) and Adaptive Loop Filter (ALF) (Zhang et al. 2014) are applied to the reconstructed pictures sequentially. Deblocking filter aims at removing the blocking artifacts caused by block transform and quantization. The basic unit for the deblocking filter is an 8 × 8 block. For each 8 × 8 block, the deblocking filter is used only if the boundary belongs to either of CU boundary, PU boundary or TU boundary.
Technical report, DTIC Document Chen Q, Zheng Y, Yin P, Lu X, Solé J, Xu Q, Francois E, Wu D (2011) Classified quadtree-based adaptive loop filter. In: 2011 IEEE international conference on multimedia and expo (ICME). IEEE, pp 1–6 Cutler CC (1950) Differential quantization of communication signals Enomoto H, Shibata K (1965) Features of Hadamard transformed television signal. In: National conference IECE in Japan, p 881 Flierl M, Girod B (2003) Generalized b pictures and the draft H. 264/AVC video-compression standard.