Abstract
The H.264/AVC video coding standard adopted context-based adaptive variable length coding (CAVLC) as an entropy coding tool. By combining adaptive variable length coding (VLC) with context modeling, we can achieve a high coding performance. However, CAVLC in H.264/AVC has the problem that VLC table prediction is not always accurate. In this paper, we propose a new VLC table prediction algorithm using the correlation between coding modes of the current and neighboring sub-blocks and the statistics of mode distribution in both intra and inter frames. In addition, we can further increase correctness of VLC table prediction considering the structural characteristics of mode information in inter frames. Experimental results show that the proposed algorithm increases correctness of VLC table prediction by 10.07% and reduces the bit rate by 1.21% on average without significant increment of encoding time.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
