Abstract
This study develops a low-cost very-large-scale-integration (VLSI) hardware architecture for entropy coding with increased throughput using the statistical properties of context-based adaptive variable-length coding (CAVLC) in AVC/H.264. Statistical analyses show that better symbol length prediction was achieved by breaking the recursive dependency among codewords for the multi-symbol decoder implementation. The proposed CAVLC decoder easily meets the real-time requirements for high definition (HD) (1920×1088) applications. The clock speed is only 13 MHz under the best case scenario.
Original language | English |
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Article number | IIPEAT000004000002000081000001 |
Pages (from-to) | 81-91 |
Number of pages | 11 |
Journal | IET Image Processing |
Volume | 4 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2010 Apr 1 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering