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This paper investigates a ‘fingerprinting’ technique for describing human motion sequences. This work shows that human motion fingerprints can facilitate the search of human motion within large databases, similar to the fingerprinting approach used for the search of audio and image databases. This paper investigates the extraction of a reliable set of features from human motion capture data sequences...
This paper proposes a novel limb-based technique for semantic description of motion capture data. The goal is to create a motion segmentation and classification technique that is easily extensible by recognizing the actions of a limb instead of the whole body. This provides a highly detailed metadata that can be extended as needed to include additional motion classes by either adding a new limb submotion...
The phenomenal growth in multimedia content has lead to the development of a variety of multimedia description schemes, which can be used to facilitate querying of multimedia databases. In the increasingly mobile environment of today, multimedia query formats need to be applicable to mobile devices, which, compared to desktop PCs, have specific limitations such as small screen size, limited memory...
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