SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Combinatorial Geometry for Shape Representation and Indexing
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
Exact indexing of dynamic time warping
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Hierarchical indexing structure for 3d human motions
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Blind robust watermarking of 3d motion data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A software pipeline for 3D animation generation using mocap data and commercial shape models
Proceedings of the ACM International Conference on Image and Video Retrieval
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From cartoons to medical research world, from the field of arts to scientific visualization, everyone related to these areas have been continuously using 3D motion capture data. Querying on these databases is one of the important tasks. In recent years, almost all the querying interfaces for motion databases are related to tag based search. A lot of manual work is involved in tagging each motion in a database. The focus of this research is on giving the user a freedom of expression by allowing him/her to draw queries and developing a technique to retrieve motions to find an approximate match. In our approach, we have introduced a visual query interface in which a naïve user can draw a query expressed in different human body segments. An indexing algorithm is used to produce the result for a given query format, supported by an efficient pre-processing method for large motion databases.