• 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