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SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
VideoTrails: representing and visualizing structure in video sequences
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Data Structures for Range Searching
ACM Computing Surveys (CSUR)
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Wavelet-based video indexing and querying
Multimedia Systems - Special section on video libraries
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Landmarks: A New Model for Similarity-Based Pattern Querying in Time Series Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Introduction to MPEG-7: Multimedia Content Description Interface
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Models for motion-based video indexing and retrieval
IEEE Transactions on Image Processing
Metadata-driven interactive web video assembly
Multimedia Tools and Applications
CANDELA – storage, analysis and retrieval of video content in distributed systems
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
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A prototype basketball video retrieval system is presented in this paper. Retrieval is based on the similarity of ball motion in the clip with that in the query. The system uses a query-by-sketch paradigm, where the user provides a sketch of the desired ball trajectory. The video data is pre-processed to make the ball motion invariant to camera translation. The next stage is dimensionality reduction wherein we model the ball motion as a set of parabolic trajectories. An R-tree is used to index these parabolic representations and search for similar trajectories in a low dimension parametric space. The query is processed to obtain its parametric representation, and a nearest neighbor search is performed for similar parabolas. These query results are then post-processed by assigning scores based on various similarity criteria. The system could be extended to other types of videos and moving objects. As a proof of concept, the system was tested for ball trajectories in basketball video.