SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Comparing constraint-based motion editing methods
Graphical Models
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
3D motion retrieval with motion index tree
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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With the development of motion capture techniques; more and more 3D motion libraries become available. The growing amount of motion capture data requires more efficient and effective methods for indexing, searching and retrieving. In many cases, the user will only have a sketchy idea of which kind of motion to look for in the motion database. In consequence, the description about the query movement is a bottleneck for motion retrieval system. This paper presents a framework that can describe and handle the query scenes effectively. Our content-based retrieval system supports two kinds of query modes: textual query mode and query-by-example mode. By using various kinds of qualitative features and adaptive segments of motion capture data stream, our indexing and retrieval methods are carried out at the segment level rather than at the frame level, making them quite efficient. Some experimental examples are given to demonstrate the effectiveness and efficiency of proposed algorithms.