19 September 2014 Non-tables look-up search algorithm for efficient H.264/AVC context-based adaptive variable length coding decoding
Yishi Han, Zhixiao Luo, Jianhua Wang, Zhixuan Min, Xinyu Qin, Yunlong Sun
Author Affiliations +
Abstract
In general, context-based adaptive variable length coding (CAVLC) decoding in H.264/AVC standard requires frequent access to the unstructured variable length coding tables (VLCTs) and significant memory accesses are consumed. Heavy memory accesses will cause high power consumption and time delays, which are serious problems for applications in portable multimedia devices. We propose a method for high-efficiency CAVLC decoding by using a program instead of all the VLCTs. The decoded codeword from VLCTs can be obtained without any table look-up and memory access. The experimental results show that the proposed algorithm achieves 100% memory access saving and 40% decoding time saving without degrading video quality. Additionally, the proposed algorithm shows a better performance compared with conventional CAVLC decoding, such as table look-up by sequential search, table look-up by binary search, Moon’s method, and Kim’s method.
© 2014 SPIE and IS&T 0091-3286/2014/$25.00 © 2014 SPIE and IS&T
Yishi Han, Zhixiao Luo, Jianhua Wang, Zhixuan Min, Xinyu Qin, and Yunlong Sun "Non-tables look-up search algorithm for efficient H.264/AVC context-based adaptive variable length coding decoding," Journal of Electronic Imaging 23(5), 053007 (19 September 2014). https://doi.org/10.1117/1.JEI.23.5.053007
Published: 19 September 2014
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KEYWORDS
Technetium

Binary data

Multimedia

Video

Computer programming

Quantization

Algorithm development

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