By Wen Gao, Siwei Ma
This ebook provides an summary of the cutting-edge in video coding expertise. particularly, it introduces the instruments of the AVS2 general, describing how AVS2 can assist to accomplish an important development in coding potency for destiny video networks and functions by means of incorporating smarter coding instruments comparable to scene video coding. gains: introduces the fundamental options in video coding, and offers a quick heritage of video coding expertise and criteria; reports the coding framework, major coding instruments, and syntax constitution of AVS2; describes the main applied sciences utilized in the AVS2 common, 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 procedure; discusses optimization applied sciences in video coding structures; offers a assessment of picture, video, and 3D content material caliber review algorithms; surveys the recent examine issues in video compression.
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In addition, the motion compensated blocks generated by copying interpolated pixel data from different locations of possibly different reference frames may also incur artifacts. The in-loop filtering cannot only improve the visual quality of the current frame, but also significantly improve the coding efficiency by providing high quality reference for subsequent coding frames. Although it is a useful coding tool, it also brings high complexity both in computation and hardware implementation. 263v2 Annex J (H263 1998).
2. 4 Summary This chapter gives a brief overview of AVS2 video coding standard, including the coding framework, coding tools and the syntax structure. AVS2 uses the traditional prediction/transform hybrid coding scheme, but each module has been designed delicately for improving the coding efficiency. Especially, for scene video coding, background picture-based coding shows significant coding efficiency improvement over preceding standards. References 49 References Chen J, Lee S, Kim C, Fu C, Huang Y, Lei S (2013) Sample adaptive offset for avs2.
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