CLASSIC: a structural data model for objects
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Medium knowledge-based macro-segmentation of video into sequences
Intelligent multimedia information retrieval
Maintaining knowledge about temporal intervals
Communications of the ACM
Efficient matching and clustering of video shots
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Text detection and segmentation in complex color images
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
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We address the issue of detecting automatically occurrences of high level patterns in audiovisual documents. These patterns correspond to recurring sequences of shots, which are considered as first class entities by documentalists, and used for annotation and retrieval. We introduce a language for specifying these patterns, based on an extension of Allen's algebra with the regular expression operator +, which denotes an iteration of arbitrary length. We propose a formulation of this pattern language using the constraint satisfaction framework, in which templates are represented as constraint problems. We propose an efficient representation of domains (all subsequences of a given graph) and filtering methods for the Allen constraints. We illustrate the resulting system on a corpus of real world news broadcast examples.