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Learning to hash has attracted broad research interests in recent computer vision and machine learning studies, due to its ability to accomplish efficient approximate nearest neighbor search. However, the closely related task, maximum inner product search (MIPS), has rarely been studied in this literature. To facilitate the MIPS study, in this paper, we introduce a general binary coding framework...
In this paper, a multiband loss less compression system exploiting inter-band data correlation is presented. We develop an adaptive prediction scheme that can dynamically switch among smooth, intra and intra-band prediction modes subject to the data correlation. Specifically, we use context information to determine the inter-band correlation between neighboring bands, and then borrow the wisdom of...
A new MD (multiple description) video coding method, which is based on balanced multiwavelet image transformations, is proposed here. First, we apply balanced multiwavelet transformation to the image; then, corresponding components of each sub-band are gathered together, so that we can decompose the image into 4 MDs. A practical MD coding theme must satisfy two requirements. First, each description...
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