Abstract
This paper describes an original approach for motion characterization witha view to content-based video indexing and retrieval. A statistical analysis of temporal cooccurrence distributions of relevant local motion-based measures is exploited to compute global motion descriptors, which allows to handle diverse motion situations. These features are used in an ascendant hierarchical classification procedure to supply a meaningful hierarchy from a set of sequences. Results of classification and retrieval on a database of video sequences are reported.
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© 1999 Springer-Verlag Berlin Heidelberg
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Fable, R., Bouthemy, P. (1999). Motion-Based Feature Extraction and Ascendant Hierarchical Classification for Video Indexing and Retrieval. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_28
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DOI: https://doi.org/10.1007/3-540-48762-X_28
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