Neural Networks for Intelligent Multimedia Processing  

Oleh:

Kung, S. Y. ; Hwang, Jenq-Neng

Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Signal Processing Magazine vol. 14 no. 4 (1997), page 44.
Topik: multimedia; neural networks; intelligent; multimedia; processing

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: SS26.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Multimedia technologies represent new ground for research interactions among a variety of media such as speech, audio, image, video, text, and graphics. Future multimedia technologies will need to handle information a with an increasing level of intelligence, i. e., automatic recognition and interpretation of multimodal signals. The main attribute of neural processing is its adaptive learning capability, which enables machines to be taught to interpret possible variations of a same object or pattern, e. g. scale, orientation, and perspective. Moreover, we are able to accurately approximate unknown systems based on sparse sets of noisy data. In addition, spatial / temporal neural structures and hierarchical models are promising for multirate, multiresolution multimedia processing.

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