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Image and Video Compression with VLSI Neural Networks

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dc.contributor.author Fang, W. en_US
dc.contributor.author Sheu, B. en_US
dc.date.accessioned 2004-10-04T21:45:37Z
dc.date.available 2004-10-04T21:45:37Z
dc.date.issued 1993-12-20 en_US
dc.identifier.citation Hsinchu, Taiwan, Republic of China en_US
dc.identifier.clearanceno 94-0006 en_US
dc.identifier.uri http://hdl.handle.net/2014/32275
dc.description.abstract An advanced motion-compensated predictive video compression system based on artificial neural networks has been developed to effectively eliminate the temporal and spatial redundancy of video image sequences and thus reduce the bandwidth and storage required for the transmission and recording of the video signal. The VLSI neuroprocessor for high-speed high-ratio image compression based upon a self-organization network and the conventional algorithm for vector quantization are compared. The proposed method is quite efficient and can achieve near-optimal results. en_US
dc.format.extent 1206701 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other image compression video compression motion-compensated predictive video compression artificial neural networks VLSI en_US
dc.title Image and Video Compression with VLSI Neural Networks en_US


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