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|Title:||Video retrieval by context-based interpretation of time-to-collision descriptors||Authors:||Mittal, A.
|Issue Date:||2003||Citation:||Mittal, A.,Sung, W.-K. (2003). Video retrieval by context-based interpretation of time-to-collision descriptors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2756 : 206-213. ScholarBank@NUS Repository.||Abstract:||Video retrieval using high-level indices is more meaningful than querying using low-level features. In this paper, we show how perceptual features such as time-to-collision (TTC) can lead to several high-level categories. Experiments have been conducted to validate our proposed TTC detection algorithm to compute TTC from the divergence of the image velocity field. A simple and novel method named as the pilot cue is used to further refine our algorithm. Our initial system works with a rule-based approach where the extracted TTC shots (low-level feature) are mapped to their corresponding high-level indices. The information conveyed by their neighboring frames or shots (i.e. contextual information) is used to facilitate the mapping process. Several psychological effects (high-level indices) such as intimacy, suspense and terror are recovered as a result. © Springer-Verlag Berlin Heidelberg 2003.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/39108||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
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