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 [BibTeX] [Marc21]
Object Localization in Metric Spaces for Video Linking
Type of publication: Idiap-RR
Citation: gatica03b
Number: Idiap-RR-09-2003
Year: 2003
Institution: IDIAP
Abstract: While objects often constitute the desired level of access for browsing and retrieval in video databases, an inherent problem for on-line object definition is that of model construction from a few examples. In this paper, we present a probabilistic methodology to localize objects that appear across video segments, based on video structuring, object definition, and localization in the video structure. Localization is formulated as a problem of random sampling in a Metric Mixture Model framework, which allows for the joint modeling of a set of color appearance exemplars and their geometric transformations. To improve the efficiency of the sampling process, candidate configurations are drawn from a prior distribution using importance sampling, and evaluated using Bayes' rule. Experimental results on a database extracted from home videos depicting real objects (with variations of scale and pose) across video shots show the performance of the method.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Gatica-Perez, Daniel
Sun, Ming-Ting
Crossref by gatica03b-conf
Added by: [UNK]
Total mark: 0
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