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Image and Video Compression with VLSI Neural NetworksAn 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.
Document ID
20060037643
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Fang, W.
Sheu, B.
Date Acquired
August 23, 2013
Publication Date
December 20, 1993
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Other
Keywords
compression artificial neural networks VLSI
image compression video compression motion-compensated predictive video

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