By Wen Gao, Siwei Ma
This publication provides an outline of the state-of-the-art in video coding expertise. particularly, it introduces the instruments of the AVS2 ordinary, describing how AVS2 may also help to accomplish an important development in coding potency for destiny video networks and purposes by way of incorporating smarter coding instruments reminiscent of scene video coding. good points: introduces the elemental strategies in video coding, and provides a quick historical past of video coding expertise and criteria; experiences the coding framework, major coding instruments, and syntax constitution of AVS2; describes the main applied sciences utilized in the AVS2 general, 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 process; discusses optimization applied sciences in video coding structures; presents a overview of snapshot, video, and 3D content material caliber evaluation algorithms; surveys the new examine issues in video compression.
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Additional info for Advanced Video Coding Systems
In: 2011 18th IEEE international conference on image processing (ICIP). IEEE, pp 1685–1688 Seyler A (1962) The coding of visual signals to reduce channel-capacity requirements. Proc IEE-Part C: Monogr 109(16):676–684 Tescher AG, Cox RV (1976) An adaptive transform coding algorithm. Technical report, DTIC Document Tsai C (2012) AHG6: Baseline options for ALF: Joint collaborative team on video coding (JCT-VC) of ISO/IEC MPEG and ITU-T VCEG. JCTVC-I0157 Tsai CY, Chen CY, Yamakage T, Chong IS, Huang YW, Fu CM, Itoh T, Watanabe T, Chujoh T, Karczewicz M et al (2013) Adaptive loop filtering for video coding Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity.
25 Mbits/s. It can be seen that after digitalization the high volume of video data is challenging for storage and transmission of digital video. Thus high efficiency video compression is necessary, and how to achieve efficient coding becomes very important for the real applications, which is also what we will talk about in this book. As analog video, many digital video formats have been defined for various applications. 2 shows the typical video formats used in video coding. CIF is the abbreviation of Common Intermediate Format and QCIF is a quarter of CIF, which are usually used in early video teleconferencing.
For other cases, median prediction is used. In AVS2, the motion vector is in quarter-pixel precision for the luminance component, and the subpixel is interpolated with an 8-tap DCT interpolation filter (DCT-IF) (Lv et al. 2013). For the chrominance component, the motion vector derived from luminance with 1/8 pixel precision and a 4-tap DCT-IF is used for subpixel interpolation (Wang et al. 2014). After motion vector prediction, the motion vector difference (MVD) is coded in the bitstream. However, redundancy may still exist in MVD, and to further save coding bits of motion vectors, a progressive motion vector resolution adaptation method is adopted in AVS2 (Ma et al.