By Youn-Long Steve Lin, Chao-Yang Kao, Hung-Chih Kuo, Jian-Wen Chen
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VLSI layout for Video Coding
High definition video calls for large compression on the way to be transmitted or saved economically. Advances in video coding criteria from MPEG-1, MPEG-2, MPEG-4 to H.264/AVC have supplied ever expanding coding potency, on the price of serious computational complexity which could basically be brought via vastly parallel processing.
This e-book provides VLSI architectural layout and chip implementation for top definition H.264/AVC video encoding with an entire FPGA prototype. It serves as a useful reference for a person drawn to VLSI layout for video coding.
• offers cutting-edge VLSI architectural layout and chip implementation for prime definition H.264/AVC video encoding;
• Employs vastly parallel processing to bring 1080pHD, with effective layout that may be prototyped through FPGA;
• each subsystem is gifted from usual specification, algorithmic description, layout issues, timing making plans, block diagram to test-bench verification;
Read or Download VLSI Design for Video Coding: H.264/AVC Encoding from Standard Specification to Chip PDF
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Again conceal CopyVLSI layout for Video CodingBy:Youn-Long LinChao-Yang KaoJian-Wen ChenHung-Chih KuoHigh definition video calls for enormous compression that allows you to be transmitted or kept economically. Advances in video coding criteria from MPEG-1, MPEG-2, MPEG-4 to H. 264/AVC have supplied ever expanding coding potency, on the rate of significant computational complexity which may in simple terms be added via hugely parallel processing.
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Additional info for VLSI Design for Video Coding: H.264/AVC Encoding from Standard Specification to Chip
On the other hand, the Level D 44 3 Integer Motion Estimation a b N + SRH –1 N + SRV –1 N + SRV –1 N-1 N 1 c SRH –1 d N 1 N-1 1 W + SRH –1 SRV –1 CB 1 CB 2 N N + SRV –1 N N 1 N + SRH –1 Fig. SRV 1/ scheme achieves the lowest off-chip memory traffic but has the largest size local memory. Presently, most ME designs adopt the Level C scheme to strike a balance between memory size and traffic. 3 A VLSI Design for Integer Motion Estimation We propose a multiple(P)-macroblock data-reuse scheme in Sect.
The widths of A0 , B0 , . . , and G1 are all 16 pixels. 23a shows the data flow when two reference frames are processed sequentially. In Step 1, PE-arrays 1–4 perform block matching of CB1 against A0 . In Step 2, B0 is broadcasted to PE-arrays 1–4 and PE-arrays 5–8 for block matching of CB1 and CB2 , respectively. After Step 4, block matching of CB1 against RF0 is completed. In Step 5, block matching of CB1 against RF1 starts and A1 is transferred to PE-arrays 1–4. However, block matching of CB2 CB4 is still in RF0 and E0 is broadcasted to PE-arrays 5–8, 9–12, and 13–16.
Consequently, there are totally (2SRV =N ) (2SRV =N ) sets of PEs for the whole search window. By twodirectional data broadcasting, this design further increases data-reuse ratio. Komarek and Pirsch  proposed a 2D array architecture as shown in Fig. 9. Each current pixel is stored in a PE and hence the number of PEs is equal to the current block size (block size N D 4 in Fig. 9). Instead of broadcasting, reference 0 1 D D PE 0 PE 1 D PE 2 PE 14 Comparator MV Fig. 7 Yang’s 1D array architecture D PE 15 38 3 Integer Motion Estimation Current Reference Pixel Pixel0 PE PE PE PE Reference Pixel1 D D D D PE PE PE PE D D D D PE PE PE PE D D D D PE PE PE PE D D D Comparator MV Fig.