Video booklet: a natural video searching and browsing interface

In this paper, we propose a novel system, named Video Booklet, which enables efficient and natural personal video browsing and searching. In the system, firstly representative thumbnails of a collection of video segments are selected through an elaborate booklet generation approach, and then reshaped by a set of pre-trained personalized shape templates (such as circle, heart, sector, stamp, etc), consequently printed out on a real booklet or album. When users plan to browse the content of their digital video library, they can firstly browse their booklets in a manner as browsing ordinary photo albums. When they want to watch a certain segment indicated by a thumbnail in the booklet, they are able to use their camera phones or similar devices to capture the corresponding thumbnail, and send the captured image to a computer via wireless network. Thereafter, the target thumbnail is accurately located by a proposed Self-Trained Active Shape Model algorithm, and then the distortion of the captured image is corrected. Finally the Video Booklet system will automatically find the most similar thumbnail to the corrected one in the video library and begin to play the corresponding segment for the users. Thereby, Video Booklet builds a seamless bridge between digital videos and analog albums.

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