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Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval
[chapter]
2013
Lecture Notes in Computer Science
Due to the massive explosion of multimedia content on the web, users demand a new type of information retrieval, called cross-modal multimedia retrieval where users submit queries of one media type and get results of various other media types. Performing effective retrieval of heterogeneous multimedia content brings new challenges. One essential aspect of these challenges is to learn a heterogeneous metric between different types of multimedia objects. In this paper, we propose a Bayesian
doi:10.1007/978-3-642-41230-1_4
fatcat:xtfbwdmwufbqzkf2s36t53jxm4