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Picture Collage
New York, NY June 17-June 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.2242006 IEEE Computer Society Conference ...
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Jingdong Wang, Long Quan, Jian Sun, Xiaoou Tang, Heung-Yeung Shum, "Picture Collage," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 347-354, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006.
 
 
BibTex
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@article{ 10.1109/CVPR.2006.224,
author = {Jingdong Wang and Long Quan and Jian Sun and Xiaoou Tang and Heung-Yeung Shum},
title = {Picture Collage},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2006},
issn = {1063-6919},
pages = {347-354},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.224},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Picture Collage
SN - 1063-6919
SP347
EP354
A1 - Jingdong Wang,
A1 - Long Quan,
A1 - Jian Sun,
A1 - Xiaoou Tang,
A1 - Heung-Yeung Shum,
PY - 2006
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Jingdong Wang, HKUST, Hong Kong
Long Quan, HKUST, Hong Kong
Jian Sun, Microsoft Research Asia, Beijing, China
Xiaoou Tang, Microsoft Research Asia, Beijing, China
Heung-Yeung Shum, Microsoft Research Asia, Beijing, China
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.
Citation:
Jingdong Wang, Long Quan, Jian Sun, Xiaoou Tang, Heung-Yeung Shum, "Picture Collage," cvpr, vol. 1, pp.347-354, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
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