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- W2614687909 abstract "3D models play an important role in a wide range of applications from engineering to training, from visualization to entertainment. The formal representation of, and reasoning over, concepts and properties associated with 3D models can contribute to next-generation 3D scene understanding, classification, indexing, and retrieval via 3D characteristics as opposed to keywords of traditional retrieval methods. This paper introduces a novel 3D model indexing method with X3D-alignment, with an emphasis on the representation, annotation, and efficient content-based retrieval of 3D models and their regions of interest from computer animations." @default.
- W2614687909 created "2017-05-26" @default.
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- W2614687909 date "2017-06-05" @default.
- W2614687909 modified "2023-10-02" @default.
- W2614687909 title "3D model indexing in videos for content-based retrieval via X3D-based semantic enrichment and automated reasoning" @default.
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- W2614687909 doi "https://doi.org/10.1145/3055624.3075943" @default.
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