The goal of this work is fully automatic 2D human pose estimation in unconstrained TV shows and feature films. Direct pose estimation on this uncontrolled material is often too difficult, especially when knowing nothing about the location, scale, pose, and appearance of the person, or even whether there is a person in the frame or not. We propose an approach that progressively reduces the searc...

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The objective of the project is to develop a system that takes a TV show or movie as input, and automatically detects and identifies all the celebrities shown in it. The system is useful for various applications such as video retrieval, automatic cast listing, etc. The task is more challenging than other face recognition tasks, because (a) compared to static pictures, videos have more motion bl...

Online microblogging services that have been increasingly used by people to share and exchange information, have emerged as a promising way to profiling multimedia contents, in a sense to provide users a socialized abstraction and understanding of these contents. In this paper, we propose a microblogging profiling framework, to provide a social demonstration of TV shows. Challenges for this stu...