• DocumentCode
    2863620
  • Title

    Neural networks applications for multimedia processing

  • Author

    Bojkovic, Zoran ; Milovanovic, Dragorad ; Mastorakis, Nikos

  • Author_Institution
    Fac. of Electr. Eng., Belgrade Univ., Serbia
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    Adaptive neural networks (NN) technologies present a unified solution to a broad spectrum of multimedia applications. In this paper we pointed out that current research frontier of multimedia signal processing is shifting from coding (MPEG-1,2,4) to automatic recognition (MPEG-7). Its research domain will cover techniques for object-based representation/coding, segmentation/tracking, pattern detection/recognition, multimodal signals fusion/conversion/synchronization, as well as content-based indexing and subject-based retrieval/browsing. Also, we reported successfully applications of NN for compression, denoising, contrast enhancement, snakes model segmentation/visualization, audio-to-video conversion and content-based processing/indexing/retrieval
  • Keywords
    adaptive systems; information science; multimedia computing; neural nets; pattern recognition; signal processing; MPEG-7; NN; adaptive neural networks applications; audio-to-video conversion; content-based indexing; content-based retrieval; contrast enhancement; denoising; multimedia processing; multimedia signal processing; multimodal signal conversion; multimodal signal fusion; multimodal signal synchronization; object-based coding; object-based representation; pattern detection; pattern recognition; segmentation; signal compression; snakes model segmentation; snakes model segmentation/visualization; subject-based retrieval; tracking; Adaptive signal processing; Adaptive systems; Content based retrieval; Indexing; MPEG 7 Standard; Neural networks; Noise reduction; Pattern recognition; Transform coding; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on
  • Conference_Location
    Belgrade
  • Print_ISBN
    0-7803-5512-1
  • Type

    conf

  • DOI
    10.1109/NEUREL.2000.902390
  • Filename
    902390