Similarity Search without Tears: The OMNI Family of All-purpose Access Methods
Proceedings of the 17th International Conference on Data Engineering
Approximate String Joins in a Database (Almost) for Free
Proceedings of the 27th International Conference on Very Large Data Bases
Similarity Searching for Multi-Attribute Sequences
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Similarity Search for Multidimensional Data Sequences
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
3D motion retrieval with motion index tree
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
A system for analyzing and indexing human-motion databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
iDistance: An adaptive B+-tree based indexing method for nearest neighbor search
ACM Transactions on Database Systems (TODS)
Search and transitioning for motion captured sequences
Proceedings of the ACM symposium on Virtual reality software and technology
Using high dimensional indexes to support relevance feedback based interactive images retrieval
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Motion templates for automatic classification and retrieval of motion capture data
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Efficient motion search in large motion capture databases
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
An information retrieval system for motion capture data
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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In this paper, a novel method based on double index with content-based characteristic index and user interaction is presented to provide a flexible and effective 3D motion retrieval and control. Experimental results show that our method can overcome the limitations of conventional method of motion retrieval and improve the retrieval accuracy.