DocumentCode :
2238129
Title :
A Codeword Classification Mapping Based CAVLC Decoding Implement Algorithm
Author :
Liu, Mafei ; Zeng, Xuewen ; Ni, Hong
Author_Institution :
Grad. Sch., Chinese Acad. of Sci., Beijing, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
433
Lastpage :
436
Abstract :
The property of H.264/AVC CAVLC(context-adaptive variable-length coding) and the characteristic of Huffman Coding are analyzed, and a high efficiency implement algorithm of CAVLC decoding based on codeword classification mapping is proposed in this paper. According to the characteristic of Huffman Coding, mapping the codewords and it´s syntax element to classification mapped tables, accelerate the process of CAVLC decoding enormously at the expense of little memory consumption. The simulation results show that the proposed algorithm achieves an approximate 24-50% speed advance without degrading video quality as compared to the conventional CAVLC decoding.
Keywords :
Huffman codes; image classification; video coding; CAVLC decoding; Huffman coding; codeword classification mapping; context-adaptive variable-length coding; Acceleration; Acoustical engineering; Acoustics; Automatic voltage control; Costs; Decoding; Degradation; Digital video broadcasting; Huffman coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.10
Filename :
5455745
Link To Document :
بازگشت