BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Clustering through decision tree construction
Proceedings of the ninth international conference on Information and knowledge management
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Indexing the Distance: An Efficient Method to KNN Processing
Proceedings of the 27th International Conference on Very Large Data Bases
Efficient Time Series Matching by Wavelets
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Motion Retrieval and Synthesis Based on Posture Features Indexing
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
3D motion retrieval with motion index tree
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
K-means clustering via principal component analysis
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A system for analyzing and indexing human-motion databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A Multilevel Distance-Based Index Structure for Multivariate Time Series
TIME '05 Proceedings of the 12th International Symposium on Temporal Representation and Reasoning
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
A similarity measure for motion stream segmentation and recognition
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Indexing 3-D human motion repositories for content-based retrieval
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Semantic quantization of 3D human motion capture data through spatial-temporal feature extraction
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Content based querying and searching for 3D human motions
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Clustering of human motions based on feature-level fusion of multiple body sensor data
Proceedings of the 1st ACM International Health Informatics Symposium
Knowledge discovery from 3D human motion streams through semantic dimensional reduction
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
3D human motion retrieval based on ISOMAP dimension reduction
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Analyzing and Visualizing Jump Performance Using Wireless Body Sensors
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on CAPA'09, Special Section on WHS'09, and Special Section VCPSS' 09
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Content-based retrieval of 3D human motion capture data has significant impact in different fields such as physical medicine, rehabilitation, and animation. This paper develops an efficient indexing approach for 3D motion capture data, supporting queries involving both sub-body motions (e.g., Find similar knee motions) as well as whole-body motions. The proposed indexing structure is based on the hierarchical structure of the human body segments consisting of independent index trees corresponding to each sub-part of the body. Each level of every index tree is associated with the weighted feature vectors of a body segment and supports queries on sub-body motions and also on whole-body motions. Experiments show that up to 97% irrelevant motions can be pruned for any kind of motion query while retrieving all similar motions, and one traversal of the index structure through all index trees takes on an average 15 μsec with the existence of motion variations.