NII-UIT-VBS: A Video Browsing Tool for Known Item Search

This paper introduces a video browsing tool for the known item search task. The key idea is to reduce the number of segments to further investigate by several ways such as applying visual filters and skimming representative keyframes. The user interface is optimally designed so as to reduce unnecessary navigations. Furthermore, a coarse-to-fine based approach is employed to quickly find the target clip.

[1]  Duy-Dinh Le,et al.  A Comprehensive Study of Feature Representations for Semantic Concept Detection , 2011, 2011 IEEE Fifth International Conference on Semantic Computing.