Assisted Video Sequences Indexing : Motion Analysis Based on Interest Points

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dc.creatorEtievent, Emmanuel
dc.creatorLebourgeois, Frank
dc.creatorJolion, Jean-Michel
dc.date2000-04-21
dc.date.accessioned2026-07-07T03:16:10Z
dc.date.available2026-07-07T03:16:10Z
dc.descriptionThis work deals with content-based video indexing. Our viewpoint is semi-automatic analysis of compressed video. We consider the possible applications of motion analysis and moving object detection : assisting moving object indexing, summarising videos, and allowing image and motion queries. We propose an approach based on interest points. As first results, we test and compare the stability of different types of interest point detectors in compressed sequences.
dc.descriptionHTML, 8 pages, 6 figures, http://rfv.insa-lyon.fr/~etievent/
dc.identifierhttps://arxiv.org/abs/cs/0004012
dc.identifierhttp://arxiv.org/abs/cs/0004012
dc.identifierIciap 99, Venezia, 27-29 sept., 1059-1062
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30249
dc.subjectComputer Vision and Pattern Recognition
dc.subjectI.4.8; I.4.9
dc.titleAssisted Video Sequences Indexing : Motion Analysis Based on Interest Points
dc.typetext

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