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Data Modeling Strategies for Imbalanced Learning in Visual Search

Tesic, Jelena; Natsev, Apostol; Xie, Lexing; Smith, John R


In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples are not sufficiently diverse to create a robust model of the user's need. As a result, direct modeling using the provided topic examples as training data is inadequate. Otherwise, systems resort to multiple content-based searches using each example in turn, which typically provides poor results. We propose a new...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
Source: Proceedings IEEE International Conference on Multimedia Communications & Computing (ICME 07)


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