DocumentCode :
2705883
Title :
Quantized discrete cosine transform: a combination of DCT and scalar quantization
Author :
Nguyen-Phi, Khanh ; Docef, Alen ; Kossentini, Faouzi
Author_Institution :
Signal Process. & Multimed. Group, British Columbia Univ., Vancouver, BC, Canada
Volume :
6
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
3197
Abstract :
A typical MPEG-2 video encoder requires that DCT and quantization be performed in most cases. In this paper we show how to combine these two steps, reducing substantially the number of computations. The new nonlinear transform is called the quantized discrete cosine transform, or QDCT. We also introduce a new method to trade-off the computational complexity and the precision of the QDCT. Although the QDCT is independent of the input data, better trade-offs can be obtained by making it data dependent, which is appropriate in multimedia applications such as MPEG-2 video coding. The results presented in this paper can also be extended to other linear transforms and/or other coding methods
Keywords :
computational complexity; data compression; discrete cosine transforms; multimedia systems; quantisation (signal); transform coding; video coding; DCT; MPEG-2 video coding; MPEG-2 video encoder; QDCT; coding methods; computational complexity; data dependent; image compression; input data; linear transforms; multimedia applications; nonlinear transform; precision; quantized discrete cosine transform; scalar quantization; video compression; Arithmetic; Decorrelation; Discrete cosine transforms; Encoding; Entropy; Quantization; Transform coding; Video coding; Video compression; Video signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.757521
Filename :
757521
Link To Document :
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