Automatic generation of visual-textual web video thumbnail

Thumbnails provide an efficient way to perceive video content and give online viewers instant gratification of making relevance judgements. In this paper, we proposed an automatic approach to generate magazine-cover-like thumbnail using the salient visual and textual metadata extracted from video. Compared with traditional snapshot, the synthesized thumbnail is more informative and attractive, which would be helpful for online video selection.