Maintaining knowledge about temporal intervals
Communications of the ACM
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
MOSAIC: A Multi-feature Access Method for Large Image Databases
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Combining multi-visual features for efficient indexing in a large image database
The VLDB Journal — The International Journal on Very Large Data Bases
Toward Efficient Multifeature Query Processing
IEEE Transactions on Knowledge and Data Engineering
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Multi-cue fusion for semantic video indexing
MM '08 Proceedings of the 16th ACM international conference on Multimedia
An efficient access method for multimodal video retrieval
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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Efficient temporal video search will play an important role in the future related to the vast growth of video data in the Web. Here, index structures are one way to ensure efficient retrieval over a large amount of data. However, index structures targeting on indexing video data are rare. In this context, the paper introduces the TempoM 2−tree framework, which features a two-level index structure supporting the retrieval of similar video segments in combination with temporal relations.