Abstract
In the recent years, computing with visual and multimedial data has emerged as a key technology in many areas. However, the creation, processing, and management of these data types require an enormous computational effort, often too high for single processor architectures. Therefore, this fact taken together with the inherent data parallelism in these data types makes image processing, video processing, and multimedia natural application areas for parallel and distributed computing.
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© 2000 Springer-Verlag Berlin Heidelberg
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Rolim, J. (2000). Workshop on Parallel and Distributed Computing in Image Processing, Video Processing, and Multimedia (PDIVM 2000). In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_21
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DOI: https://doi.org/10.1007/3-540-45591-4_21
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