Mobile Media Thumbnailing
Yingying Jennifer Chen, Jinqiao Wang, Jing Liu, Hanqing Lu · 2015
With the development of Multimedia and Internet techniques, massively increasing visual data, such as image and video, need to be shown and browsed as thumbnails in various digital display platforms, like PC, cell phone, etc. This demonstration presents a grid based adaptive media thumb-nailing approach to maximize user experience in mobile image and video browsing. After representative frame extraction by spectral clustering and salient region detection, we obtain thumbnails with three resizing operators: cropping, warping and scaling, and adaptively fuse them into a unified grid based convex programming problem which could be solved simultaneously and efficiently through numerical optimization. Extensive experiments and comparisons on HUAWEI Honor 6 and Samsung S5 demonstrate that the proposed method achieves an excellent information preservation for thumbnails in mobile devices.