NDLI: Motion map: image-based retrieval and segmentation of motion data

Content Provider	ACM Digital Library
Author	Sakamoto, Yasuhiko Kuriyama, Shigeru Kaneko, Toyohisa
Abstract	Recent proliferation of motion capture systems enables motion data to be saved as an archive system, and the data are usually extracted by selecting an appropriate file by its name or annotation explaining the content of motions. Such semantic-based retrieval, however, is not suited to unstructured files that include many types of elemental motions, due to the difficulty in giving comprehensible annotations. Moreover, expected motion clips are often included as a part of entire sequences, and the data therefore should be manually clipped using some authoring tools. This paper proposes an image-based user interface for retrieving motion data using a self-organizing map for supplying recognizable icons of postures. The postures are used as keys for retrieval, and the desirable segments of the motion data can be accurately extracted by specifying and ending postures. The number of possible motion segments is flexibly controlled by changing the scope of postures used as the keys.
Starting Page	259
Ending Page	266
Page Count	8
File Format	PDF
ISBN	3905673142
ISSN	17275288
DOI	10.1145/1028523.1028557
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-08-27
Publisher Place	Goslar
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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Motion map: image-based retrieval and segmentation of motion data