Paper
30 October 2009 A VLSI implementation of CAVLC for H.264/AVC
Li Luo, Zheying Li, Qinmei Yu
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749850 (2009) https://doi.org/10.1117/12.833530
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
H.264 is the newest video coding standard and is currently one of the hot subjects of video processing technologies. Coding quality and compression ratio have been greatly improved in the new standard compared with the previous standards. The context-based adaptive technology is introduced into the new standard, which can be said to be a technology renovation of the video coding. The main entropy coding technologies of H.264 include VLC (Variable- Length Coding) and CABAC (Context-based Adaptive Binary Arithmetic Coding). CAVLC is VLC and adopts the context-based adaptive technology, therefore the coding efficiency is greatly improved. Currently, the design of the CAVLC encoder is mainly in software method, but with the development of real-time video processing technology, it is difficult for software to meet the demands. As a result, the hardware method in designing of CAVLC coder becomes a good choice. In the paper a CAVLC entropy encoder architecture based VLSI is proposed and implemented on an Altera FPGA device. As the results of simulation and synthesis, it can process 4×4 or 2×2 blocks per 16 clock periods with pipelined architecture and can achieve the real-time processing requirement of 30 frames per second for a 720×480 video at 100 MHz operation frequency.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Luo, Zheying Li, and Qinmei Yu "A VLSI implementation of CAVLC for H.264/AVC", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749850 (30 October 2009); https://doi.org/10.1117/12.833530
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer programming

Video coding

Standards development

Very large scale integration

Clocks

Video

Video processing

Back to Top