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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Video Compression by Neural Networks
verfasst von : Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
Erschienen in: Intelligent Multimedia Processing with Soft Computing
Verlag: Springer Berlin Heidelberg
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In this chapter a general overview of most common approaches to video compression is first provided. Standardization issues are briefly discussed and most recent neural compression techniques reviewed. In addition, a particularly effective novel neural paradigm is introduced and described. The new approach is based on a proper quad-tree segmentation of video frames and is capable to yield a considerable improvement with respect to existing standards in high quality video compression. Experimental tests are described to demonstrate the efficacy of the proposed solution.