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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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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


Ryoma Oami
Ana_B. Benitez
Shih-Fu Chang

BibTex Reference

   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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