By Wen Gao, Siwei Ma
This booklet provides an outline of the cutting-edge in video coding expertise. in particular, it introduces the instruments of the AVS2 usual, describing how AVS2 may also help to accomplish an important development in coding potency for destiny video networks and functions via incorporating smarter coding instruments comparable to scene video coding. beneficial properties: introduces the fundamental innovations in video coding, and provides a brief heritage of video coding know-how and criteria; reports the coding framework, major coding instruments, and syntax constitution of AVS2; describes the most important applied sciences utilized in the AVS2 general, 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 process; discusses optimization applied sciences in video coding platforms; presents a evaluate of snapshot, video, and 3D content material caliber overview algorithms; surveys the recent examine themes in video compression.
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Additional resources for Advanced Video Coding Systems
10 Examples of the background picture and the difference frame between the original picture and the background picture. a Original 6th P frame. b 6th difference frame. c Background frame prediction, as shown in Fig. 10, which can improve foreground prediction performance by excluding the background influence. It can be seen that, after background difference prediction, the background redundancy is effectively removed. Furthermore, according to the predication modes in AVS2 compression bitstream, the blocks of an AVS2 picture could be classified as background blocks, foreground blocks or blocks on the edge area.
1 Prediction Coding The basic idea of prediction coding is to transmit a differential signal between the original signal and a prediction for the original signal, instead of the original signal. Fig. 9 Development of coding tools 28 2 Video Coding Basic Principle The differential signal is also called residual signal and at the receiver side the original signal can be reconstructed by adding the residual and the prediction. Compared to the original signal, the residual signal has lower correlation.
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.