By Wen Gao, Siwei Ma
This e-book provides an summary of the cutting-edge in video coding expertise. particularly, 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 by way of incorporating smarter coding instruments resembling scene video coding. positive aspects: introduces the elemental ideas in video coding, and offers a quick historical past of video coding expertise and criteria; studies the coding framework, major coding instruments, and syntax constitution of AVS2; describes the main 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 procedure; discusses optimization applied sciences in video coding structures; presents a evaluation of picture, video, and 3D content material caliber overview algorithms; surveys the new study themes in video compression.
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Extra resources for Advanced Video Coding Systems
For short-term reference prediction in AVS2, F frames are defined as a special P frame (Ling and Yu 2014), in addition to the traditional P and B frames. More specifically, a P frame is a forward predicted frame using a single reference picture, while a B frame is a bi-predicted frame which consists of forward, backward, bi-prediction, and symmetric prediction, using two reference frames. 2 Coding Tools 39 backward motion vector is derived from the forward motion vector. For an F frame, besides the conventional single hypothesis prediction mode in a P frame, multihypothesis techniques are added for more efficient prediction, including advanced skip/direct mode (Shao and Yu 2013), temporal multi-hypothesis prediction mode (Ling et al.
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. 2012). First, pictures are split into largest coding units (LCUs), which consist of 2N × 2N samples of luminance component and associated chrominance samples with N = 8, 16 or 32.
However, the RGB color model is device dependent, and different manufacturers may define different RGB color spaces, such as sRGB, created cooperatively by HP and Microsoft, and Adobe RGB, etc. So color conversion among different devices is necessary and one unified color space is needed for reference. Moreover, the additive RGB color model cannot encompass all the colors perceived by the human eyes. The reason is that the spectral sensitivity curves of the three types of cone cells overlap and the perceived light will not stimulate only one type of cone cell.