Basic Prediction Techniques in Modern Video Coding Standards by Byung-Gyu Kim, Kalyan Goswami PDF

By Byung-Gyu Kim, Kalyan Goswami

ISBN-10: 3319392395

ISBN-13: 9783319392394

ISBN-10: 3319392417

ISBN-13: 9783319392417

This e-book discusses intimately the fundamental algorithms of video compression which are established in smooth video codec. The authors dissect complex requisites and current fabric in a manner that will get readers quick in control by means of describing video compression algorithms succinctly, with no going to the mathematical information and technical standards. For speeded up studying, hybrid codec constitution, inter- and intra- prediction options in MPEG-4, H.264/AVC, and HEVC are mentioned jointly. furthermore, the most recent examine within the quick encoder layout for the HEVC and H.264/AVC can also be included.

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7 Boundary samples and inside samples for 4 4 intra-prediction [3] 3 Intra-prediction Techniques l0 l1 l2 l3 l4 q0 p0 p1 p2 p3 q1 p4 p5 p6 p7 q2 p8 p9 p10 p11 q3 p12 p13 p10 p11 l5 l6 l7 l8 In this equation, r0 , r1 , r2 , and r3 are the corresponding residual values in the first row. 11) The encoder sends r0 , r1 , r2 , r3 , and as part of a residual block, and the decoder can then decode the residuals as a block and then apply them for reconstruction. In the decoder, the reconstruction of the p0 , p1 , p2 , and p3 is also quite simple.

264/AVC and HEVC encoder for different coding module. 264/AVC. 264/AVC video standard has very high complexity to improve video quality and compression gain. 264/AVC. 264/AVC. From this diagram, it is very clear that the inter-prediction is the most dominating in terms of other modules. It takes over 57 % in average encoding time but sometimes over than 70 %. 3 Complexity in the Inter-prediction 45 Fig. 264/AVC video (%) 3% 4% Inter Prediction 16% Intra Prediction Transform 57% 20% other QP 25 22% 26% CAVLC QP 35 11% 21% 41% Intra Inter Transform ETC 6% 28% 45% Intra Inter Transform ETC Fig.

Every source symbol must have a unique code word assigned to it. It is better to explain the Huffman coding by using an example. Let us consider we have six symbols a1 , a2 , a3 , a4 , a5 , and a6 . Moreover, before applying the Huffman coding, we also know the probability of occurrences of each symbol. Let us consider the probabilities are 0:4; 0:3; 0:1; 0:1; 0:06, and 0:04, respectively. The steps for the Huffman coding are given below: step 1: Arrange the symbols in the decreasing order of their probabilities.

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Basic Prediction Techniques in Modern Video Coding Standards by Byung-Gyu Kim, Kalyan Goswami


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