为了对视频数据进行有效的管理，提出了一种新的视频检索与浏览系统——视频相册系统。在该系统中，首先用相册生成方案挑选出用户数字视频库的一组代表性的关键帧；接着筛选出的关键帧被预训练的形状模板(如圆形、心形、扇形、邮票形等)所裁剪，最终被打印成册。当用户想浏览视频时，可事先浏览该视频相册，就像浏览普通相册一样，若用户想观看相册中某个关键帧所代表的视频片段，即可首先方便地用摄像手机等设备拍摄该关键帧，并通过无线网络(如蓝牙)把拍摄的图像传输给计算机终端；此后，视频相册系统采用基于自训练与Snakes轮廓进化的活动形状模型算法来定位关键帧在拍摄的图像中的轮廓位置，并纠正其成像畸变。最终,系统即可在视频数据库中自动找到与纠正后的关键帧最相似的一幅，并为用户回放其代表的视频片段。实验评测结果表明，该视频相册系统可在数字视频与模拟相册间建立有效的联系。

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.