›› 2010, Vol. 25 ›› Issue (3): 572-582.

• Computer Graphics and Visualization • Previous Articles     Next Articles

Making Slide Shows with Zoomquilts

Lin Cong (丛林), Ruo-Feng Tong (童若锋), Member, CCF, and Jin-Xiang Dong (董金祥)   

  1. Department of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China
  • Received:2009-06-05 Revised:2009-11-05 Online:2010-05-05 Published:2010-05-05
  • About author:
    Lin Cong is a Ph.D. candidate in Department of Computer Science, Zhejiang University, China. He received his B.E. degree from Zhejiang University, China in 2007. His research interests include image and video processing, and computer graphics.
    Ruo-Feng Tong is a member of CCF. He received the B.S. degree from Department of Mathematics, Fudan University in 1991 and Ph.D. degree from Department of Mathematics, Zhejiang University in 1996. He continued his research as a postdoctoral researcher at Intelligent Systems and Modeling Laboratory, Hiroshima University, Japan. And currently, he is a professor of Department of Computer Science and Engineering, Zhejiang University, China. His research interests include CAD,&,CG, and computer animation.
    Jin-Xiang Dong is a professor of Department of Computer Science and Engineering, Zhejiang University, China. His research interests include CAD,&,CG, and artificial intelligence.
  • Supported by:

    This work is supported by the National High-Tech Research and Development 863 Program of China under Grant No. 2009AA01Z330 and the National Basic Research 973 Program of China under Grant No. 2006CB303106.

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.


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