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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jingdong Wang Long Quan Jian Sun Xiaoou Tang Heung-Yeung Shum |
| Copyright Year | 2006 |
| Description | Author affiliation: HKUST, Hong Kong (Jingdong Wang) |
| Abstract | In this paper, we address a novel problem of automatically creating a picture collage from a group of images. Picture collage is a kind of visual image summary - to arrange all input images on a given canvas, allowing overlay, to maximize visible visual information. We formulate the picture collage creation problem in a Bayesian framework. The salient regions of each image are firstly extracted and represented as a set of weighted rectangles. Then, the image arrangement is formulated as a Maximum a Posterior (MAP) problem such that the output picture collage shows as many visible salient regions (without being overlaid by others) from all images as possible. Moreover, a very efficientMarkov chain Monte Carlo (MCMC) method is designed for the optimization. Applications to desktop image browsing and image search result summarization demonstrate the effectiveness of our approach. |
| Starting Page | 347 |
| Ending Page | 354 |
| File Size | 3807071 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769525970 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2006.224 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-17 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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