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Non-tables look-up search algorithm for efficient H.264/AVC context-based adaptive variable length coding decoding

[+] Author Affiliations
Yishi Han

Guangdong University of Technology, Telecommunication Engineering, Guang Zhou Higher Education Mega Center, Guang Zhou 510006, China

Zhixiao Luo

Guangdong University of Technology, Telecommunication Engineering, Guang Zhou Higher Education Mega Center, Guang Zhou 510006, China

Jianhua Wang

Guangdong University of Technology, Telecommunication Engineering, Guang Zhou Higher Education Mega Center, Guang Zhou 510006, China

Zhixuan Min

Guangdong University of Technology, Telecommunication Engineering, Guang Zhou Higher Education Mega Center, Guang Zhou 510006, China

Xinyu Qin

Guangdong University of Technology, Telecommunication Engineering, Guang Zhou Higher Education Mega Center, Guang Zhou 510006, China

Yunlong Sun

Guangdong University of Technology, Telecommunication Engineering, Guang Zhou Higher Education Mega Center, Guang Zhou 510006, China

J. Electron. Imaging. 23(5), 053007 (Sep 19, 2014). doi:10.1117/1.JEI.23.5.053007
History: Received April 23, 2014; Revised August 13, 2014; Accepted August 25, 2014
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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.

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Data storage

Citation

Yishi Han ; Zhixiao Luo ; Jianhua Wang ; Zhixuan Min ; Xinyu Qin, et al.
"Non-tables look-up search algorithm for efficient H.264/AVC context-based adaptive variable length coding decoding", J. Electron. Imaging. 23(5), 053007 (Sep 19, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.5.053007


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