USING STORYBOARD TO IMPROVE VIDEO RETARGET QUALITY BY PATTERN MATCHING METHOD

摘要

Recently, there are many commercial products are invented to show videos. The products include television, smart phone, tablet, and computer. People use these products somewhere because different situation. However the size and aspect ratio of these devices are different. If the video is resized in width and height individually or resize according to the minimum side, the presentation result will very bad. It is necessary to retarget the video for many display devices. The author has proposed a retarget method by searching the location of face in the frames. It is not enough because there are many frames in a video without face. This paper proposed a method to retarget the frames by the story board. Based on color analysis, salient region detection and SURF method, the most important region can be distinguished, and then retarget the corresponding frames. The result of this paper is better than the result that just resize the video by individual frames or just crop the frames without drama.