Shi-Nine Yang

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In this study, we propose a novel framework for constructing a content-based human motion retrieval system. Two major components, including indexing and matching, are discussed and their corresponding algorithms are presented. In indexing, we introduce an affine invariant posture feature and propose an index map structure based on the posture distribution(More)
We present a novel constraint-based keyframe extraction technique, Key Probe. Based on animator-specified constraints, the method converts a skeleton-based motion or animated mesh to a keyframe-based representation. In contrast to previous curve simplification or clustering methods, we cast the keyframe extraction problem as a constrained matrix(More)
In this study, we propose a fuzzy logic CBIR (content-based image retrieval) system for finding textures. In our CBIR system, a user can submit textual descriptions and/or visual examples to find the desired textures. After the initial search, the user can give relevant and/or irrelevant examples to refine the query and improve the retrieval efficiency.(More)