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Diversity ranking for video retrieval from a broadcaster archive

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10.1145/1991996.1992052
 
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hdl:2117/12810

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Giró Nieto, XavierMés informacióMés informació
Alfaro Vendrell, Mónica
Marqués Acosta, FernandoMés informacióMés informacióMés informació
Document typeConference lecture
Defense date2011
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
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.
CitationGiró 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. 
URIhttp://hdl.handle.net/2117/12810
DOI10.1145/1991996.1992052
ISBN978-1-4503-0336-1
Publisher versionhttp://dx.doi.org/10.1145/1991996.1992052
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  • GPI - Grup de Processament d'Imatge i Vídeo - Ponències/Comunicacions de congressos [317]
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