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  An Efficient Algorithm for Keyframe-based Motion Retrieval in the Presence of Temporal Deformations

Baak, A., Müller, M., & Seidel, H.-P. (2008). An Efficient Algorithm for Keyframe-based Motion Retrieval in the Presence of Temporal Deformations. In MM’08: Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium & Workshops (AREA’08, CommunicabilityMS’08, HCC’08, MIR’08, MS’08, SAME’08, SRMC’08, TVS’08, VNBA’08) (pp. 451-458). New York, NY: ACM.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1AE2-0 Versions-Permalink: https://hdl.handle.net/21.11116/0000-000E-2E51-4
Genre: Konferenzbeitrag

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 Urheber:
Baak, Andreas1, 2, Autor           
Müller, Meinard1, Autor           
Seidel, Hans-Peter1, Autor                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              

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Schlagwörter: -
 Zusammenfassung: In the last years, various algorithms have been proposed for automatic classification and retrieval of motion capture data. Here, one main difficulty is due to the fact that similar types of motions may exhibit significant spatial as well as temporal variations. To cope with such variations, previous algorithms often rely on warping and alignment techniques that are computationally time and cost intensive. In this paper, we present a novel keyframe-based algorithm that significantly speeds up the retrieval process and drastically reduces memory requirements. In contrast to previous index-based strategies, our recursive algorithm can cope with temporal variations. In particular, the degree of admissible deformation tolerance between the queried keyframes can be controlled by an explicit stiffness parameter. While our algorithm works for general multimedia data, we concentrate on demonstrating the practicability of our concept by means of the motion retrieval scenario. Our experiments show that one can typically cut down the search space from several hours to a couple of minutes of motion capture data within a fraction of a second.

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Sprache(n): eng - English
 Datum: 2009-03-232008
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: New York, NY : ACM
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 427984
DOI: 10.1145/1460096.1460169
URI: http://doi.acm.org/10.1145/1460096.1460169
Anderer: Local-ID: C125756E0038A185-C58B63122961E157C125753E003273BF-BaakMS08_KeyframeMotion_ACM-MIR
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Vancouver, British Columbia, Canada
Start-/Enddatum: 2008-10-30 - 2008-10-31

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Titel: MM’08 : Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium & Workshops (AREA’08, CommunicabilityMS’08, HCC’08, MIR’08, MS’08, SAME’08, SRMC’08, TVS’08, VNBA’08)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York, NY : ACM
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 451 - 458 Identifikator: ISBN: 978-1-60558-312-9