Compact Description and Modeling of Multidimensional Information
نویسنده
چکیده
We present a technique to compress data de ned as functions in high dimensional spaces. The objects in the spaces are represented by manifolds. Traditionally, data compression methods have been applied to functions de ned on simple manifolds such as the real line (e.g., audio), a rectangle (e.g., images), or a three{dimensional open{ended box (e.g., video). However, many conventional data compression technologies, unmodi ed, are not suitable for compression of data de ned on more complex geometries such as spheres, general polytopes, etc. Accordingly, this paper seeks to provide a transform compression technique for addressing 2{ manifold domains using second generation wavelet transforms and zerotree coding.
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