We present a novel method for generating a slide show, which takes as input a collection of images, and outputs a video consisting of these images, switching between images smoothly in a continuous zoom-like process：...We present a novel method for generating a slide show, which takes as input a collection of images, and outputs a video consisting of these images, switching between images smoothly in a continuous zoom-like process： as the sequence plays, a miniature of the next image is embedded in the current image and enlarges until eventually replaces the current image. Color differences, texture similarity, image complexity, etc. are taken into account to measure the distance between two images. Based on this distance, a dynamic programming algorithm is used to generate the best playing sequence which minimizes the sum of distances between successive images. The embedded image is naturally merged with the current one for smooth sequence through a graph-cut-guided blending strategy, and interframe coherence is maintained to avoid abrupt change. Experiments show that our approach is very effective on image collections of scenic spots.展开更多
基金supported by the National High-Tech Research and Development 863 Program of China under Grant No.2009AA01Z330the National Basic Research 973 Program of China under Grant No. 2006CB303106
文摘We present a novel method for generating a slide show, which takes as input a collection of images, and outputs a video consisting of these images, switching between images smoothly in a continuous zoom-like process： as the sequence plays, a miniature of the next image is embedded in the current image and enlarges until eventually replaces the current image. Color differences, texture similarity, image complexity, etc. are taken into account to measure the distance between two images. Based on this distance, a dynamic programming algorithm is used to generate the best playing sequence which minimizes the sum of distances between successive images. The embedded image is naturally merged with the current one for smooth sequence through a graph-cut-guided blending strategy, and interframe coherence is maintained to avoid abrupt change. Experiments show that our approach is very effective on image collections of scenic spots.
