Diversity ranking for video retrieval from a broadcaster archive
Cita com:
hdl:2117/12810
Tipus de documentComunicació de congrés
Data publicació2011
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Video retrieval through text queries is a very common practice
in broadcaster archives. The query keywords are compared
to the metadata labels that documentalists have previously
associated to the video assets. This paper focuses on
a ranking strategy to obtain more relevant keyframes among
the top hits of the results ranked lists but, at the same time,
keeping a diversity of video assets. Previous solutions based
on a random walk over a visual similarity graph have been
modi ed to increase the asset diversity by ltering the edges
between keyframes depending on their asset. The random
walk algorithm is applied separately for ever visual feature
to avoid any normalization issue between visual similarity
metrics. Finally, this work evaluates performance with two
separate metrics: the relevance is measured by the Average
Precision and the diversity is assessed by the Average
Diversity, a new metric presented in this work.
CitacióGiró Nieto, X.; Alfaro Vendrell, M.; Marqués Acosta, F. Diversity ranking for video retrieval from a broadcaster archive. A: ACM International Conference on Multimedia Retrieval. "Proceedings of the 1st ACM International Conference on Multimedia Retrieval (ICMR '11)". 2011, p. 1-8. ISBN 978-1-4503-0336-1. DOI 10.1145/1991996.1992052.
ISBN978-1-4503-0336-1
Versió de l'editorhttp://dx.doi.org/10.1145/1991996.1992052
Fitxers | Descripció | Mida | Format | Visualitza |
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GiroAlfaroMarques.pdf | Initial submission (no review) | 3,420Mb | Visualitza/Obre | |
2011-giro-icmr.pdf | Poster | 1000,Kb | Visualitza/Obre |