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Ryoma Oami, Ana B. Benitez, Shih-Fu Chang, Nevenka Dimitrova. Understanding and Modeling User Interest in Consumer Videos. In IEEE International Conference On Multimedia & Expo (ICME), Taipei, Taiwan, June 2004.

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Abstract

This paper analyzes the interests of users in viewing and organizing consumer videos. It proposes a taxon-omy of relevant concepts with three basic Dimensions Of Interest (DOIs) and effective models to predict the user interest in each dimension. The three DOIs corre-spond to the objects, the scenes and the events. Our conclusions are backed with an extensive study, in which users were asked to annotate and score the im-portance of each DOI in short clips of diverse and real consumer videos. Analysis of the user study data re-veals high consistency (70%) of the scores across dif-ferent users, higher importance of objects and events, and independence between objects and events. In addi-tion, we show how heuristic rules and neural networks can accurately predict these scores using camera mo-tion, foreground object and audio information. The automatic and effective prediction of user interests has the potential for improving automatic applications for annotating and summarizing consumer videos, among others

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Ryoma Oami
Ana_B. Benitez
Shih-Fu Chang

BibTex Reference

@InProceedings{dvmmPub9,
   Author = {Oami, Ryoma and Benitez, Ana B. and Chang, Shih-Fu and Dimitrova,       Nevenka},
   Title = {Understanding and Modeling User Interest in Consumer       Videos},
   BookTitle = {IEEE International Conference On Multimedia & Expo       (ICME)},
   Address = {Taipei, Taiwan},
   Month = {June},
   Year = {2004}
}

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