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Personalized Multimedia Search

  • Jitao SangEmail author
Chapter
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Part of the Springer Theses book series (Springer Theses)

Abstract

Given results from multimedia content analysis and user modeling, personalized multimedia services are developed to satisfy customized needs. In this chapter, we introduce a general solution framework for personalized multimedia search. We first propose a multimodal generative model to simultaneously address tasks of multimedia content analysis and user modeling, and then present the risk minimization-based theoretical framework for personalized image search. The framework considers the noisy tag issue and enables easy incorporation of social relation.

Keywords

Query Model Topic Distribution Visual Descriptor Maximally Stable Extremal Region Personalized Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.National Lab of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

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