DocumentCode :
1677881
Title :
Audio/video compression applications using wavelets
Author :
Cheng, Yu-Shen ; Huang, Gen-Dow
Author_Institution :
Techsoft Technol. Co. Ltd., Taoyuan Hsen, Taiwan
Volume :
3
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
2214
Lastpage :
2218
Abstract :
It is well known that the advantages of wavelet transform are to provide characteristic of multiple resolution and global decomposition that are the significant features for the audio/video compression applications. In this paper, an effective wavelet-based audio/video compression algorithm is presented to provide highly efficient signal compression mechanism with acceptable human visual/hearing perception. Experimental simulations show that the proposed audio/video model can meet the current industrial communication requirements in terms of the processing time and the compression performance. Development of wavelet-based audio/video compression model also includes the consideration of hardware implementation. With this high-performance audio and video codec, it can be employed to develop compact, low power, high-speed, portable, cost-effective, and low-weight video/audio compression multimedia application
Keywords :
audio coding; data compression; neural nets; video coding; wavelet transforms; audio codec; audio/video compression applications; global decomposition; highly-efficient signal compression; multimedia application; multiple resolution; neural nets; video codec; wavelet transform; wavelets; Audio compression; Bandwidth; Humans; Image coding; Image reconstruction; Quantization; Signal resolution; Very large scale integration; Video compression; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1007485
Filename :
1007485
Link To Document :
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