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- W1536699658 abstract "Describes hardware that has been built to compress video in real time using full-search vector quantization (VQ). This architecture implements a differential-vector-quantization (DVQ) algorithm which features entropy-biased codebooks designed using an artificial neural network (ANN). A special-purpose digital associative memory, the VAMPIRE chip, performs the VQ processing. The authors describe the DVQ algorithm, its adaptations for sampled NTSC composite-color video, and details of its hardware implementation. The authors conclude by presenting results drawn from real-time operation of the DVQ hardware. >" @default.
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- W1536699658 date "2002-12-17" @default.
- W1536699658 modified "2023-09-26" @default.
- W1536699658 title "Differential vector quantization of real-time video using entropy-biased ANN codebooks" @default.
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- W1536699658 doi "https://doi.org/10.1109/icnn.1994.374443" @default.
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