DocumentCode :
2911413
Title :
A Fuzzy Bit Allocation Algorithm for Variable Bit Rate Video Coding
Author :
Shafei, M. ; Rezaei, M. ; Tavakoli, S. ; Mohanna, F.
Author_Institution :
Fac. of Electr. & Comput. Eng., Univ. of Sistan & Baluchestan, Zahedan, Iran
fYear :
2011
fDate :
16-17 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
A fuzzy bit allocation method, applicable to many rate control algorithms targeted for variable rate video applications, is proposed in this paper. In low-delay video communication applications, a constant short-term average bit rate is required. However, in variable bit rate applications, such as streaming and broadcast applications, a constant long-term average bit rate is sufficient and a higher short-term variation in bit rate is acceptable. A variable bit rate video can provide better visual quality and coding efficiency in comparison with a constant bit rate video. The proposed fuzzy bit allocation algorithm is employed for encoding special P frames. To take advantage of variable bit rate video, the proposed method is implemented independently of the rate control algorithm. Two fuzzy systems are used to determine the location and the quantization parameter of special P frames. The proposed method is implemented on a JM H.264/AVC video encoder. Experimental results show that it can improve the quality of compressed video while having a low degree of computational complexity.
Keywords :
computational complexity; data compression; fuzzy set theory; video coding; video communication; JM H.264-AVC video encoder; broadcast applications; coding efficiency; compressed video; computational complexity; constant long term average bit rate; constant short term average bit rate; fuzzy bit allocation algorithm; low delay video communication applications; rate control algorithms; streaming applications; variable bit rate video coding; visual quality; Algorithm design and analysis; Bit rate; Encoding; PSNR; Rate-distortion; Streaming media; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2011 7th Iranian
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-1533-4
Type :
conf
DOI :
10.1109/IranianMVIP.2011.6121549
Filename :
6121549
Link To Document :
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