DocumentCode
1069843
Title
Prediction of Zero Quantized DCT Coefficients in H.264/AVC Using Hadamard Transformed Information
Author
Wang, Hanli ; Kwong, Sam
Author_Institution
City Univ. of Hong Kong, Hong Kong
Volume
18
Issue
4
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
510
Lastpage
515
Abstract
This paper presents an efficient approach for detecting zero quantized discrete cosine transform (ZQDCT) coefficients using the sum of absolute transformed difference (SATD). Previously, all the ZQDCT prediction approaches employ the sum of absolute difference (SAD) available ahead of DCT and quantization (Q) for early detection. However, when the Hadamard transform is enabled for H.264/AVC encoding, only the SATD instead of SAD is available before DCT and Q, and all the prediction approaches can not be directly applied. To solve this problem, the Gaussian distribution is applied to study the integer 4x4 DCT coefficients in H.264/AVC and hence an adaptive scheme with multiple thresholds against SATD is derived to realize different types of DCT and Q implementations. In addition, another two SATD based sufficient conditions are proposed for early detecting zero quantized DC coefficients for the luma components encoded with the intra 16 times 16 mode and the chroma components. The experimental results demonstrate that the proposed approach can greatly reduce the DCT and Q computations and obtain almost the same rate-distortion performance as the original encoder.
Keywords
Gaussian distribution; Hadamard transforms; discrete cosine transforms; video coding; AVC; Gaussian distribution; H.264; Hadamard transformed information; absolute transformed difference; luma components; zero quantized DCT coefficients; zero quantized discrete cosine transform coefficients; DCT; Discrete cosine transform (DCT); Gaussian distribution; H.264/AVC; Hadamard transform; quantization; quantization (Q);
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2008.918553
Filename
4451341
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