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