DocumentCode :
3559340
Title :
Combined CAVLC Decoder, Inverse Quantizer, and Transform Kernel in Compact H.264/AVC Decoder
Author :
Chao, Yi-Chih ; Wei, Shih-Tse ; Liu, Bin-Da ; Yang, Jar-Ferr
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan
Volume :
19
Issue :
1
fYear :
2009
Firstpage :
53
Lastpage :
62
Abstract :
In this paper, a combined kernel architecture for efficiently decoding the residual data in the H.264/AVC baseline decoder is proposed. The kernel architecture in the H.264/AVC decoder consists of context-based adaptive variable length code (CAVLC) decoder, inverse quantization (IQ), and inverse transforms (IT) units. Since the decoding speeds of these kernel units vary with data, traditional methods require data buffers between these units. The first proposed architecture efficiently combines CAVLC decoding and IQ procedures. The multiple 2-D transforms architecture is applied to all inverse transforms, including the 4times4 inverse integer transform, the 4times4 inverse Hadamard transform and the 2times2 inverse Hadamard transform, to attain fewer gate counts than those of existing transform designs. Simulation results show that the total number of gates is 14.1 k and the maximum operating frequency is 130 MHz. For real-time requirements, in the worst case, the proposed architectures can achieve the operation speed of the H.264/AVC decoder up to 4VGA@30 frames/sec in 4:2:0 format.
Keywords :
Hadamard transforms; adaptive decoding; operating system kernels; variable length codes; video coding; combined CAVLC decoder; compact H.264/AVC decoder; context-based adaptive variable length code; inverse Hadamard transform; inverse integer transform; inverse quantization; kernel architecture; multiple 2D transforms; transform kernel; H264/AVC; VLSI; residue decoder;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
Conference_Location :
12/9/2008 12:00:00 AM
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2008.2009251
Filename :
4703220
Link To Document :
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