Abstract
A three-dimensional vector quantization system is introduced suitable for video compression. The basic characteristics of slow or repeated scenes in robot vision are used as the basic assumptions of the proposed approach. Accordingly, the localized history of the sequence is used to create localized codebooks, thus representing current visual information as transformed versions of previous details. The results indicate a high compression ratio with high quality of the perceived sequence. The structure of the algorithm is mostly parallel, making it suitable for efficient hardware implementation.
Initial parts of this research were carried out at Bell Labs, Murray Hill NJ. A patent with N.S. Jayant was applied for by Bell Labs. Later work was carried out at the Technion and was supported in part by the Fund for the Promotion of Research at the Technion and by the Ollendor. Research Center.
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© 2001 Springer-Verlag Berlin Heidelberg
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Porat, M. (2001). Localized Video Compression for Machine Vision. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_34
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DOI: https://doi.org/10.1007/3-540-44690-7_34
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