This paper proposes a novel system

named Video Booklet

which enables efficient and natural personal video browsing and searching. In the system

firstly representative key frames of the video segment collection 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 key frame in the booklet

they are able to use their camera phones or similar devices to capture the corresponding frame

and send the captured image to a computer via wireless network (such as blue tooth). Thereafter

the target frame is accurately located by a proposed self training and Snakes evolution based active shape model algorithm

and the distortion of the captured image is corrected. Finally the Video Booklet system will automatically find the most similar key frame 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.