Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
ACM Transactions on Graphics (TOG)
An efficient image-mosaicing method based on multifeature matching
Machine Vision and Applications
Query-by-Sketch Based Image Synthesis
IEICE - Transactions on Information and Systems
A text-to-picture synthesis system for augmenting communication
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Melog: mobile experience sharing through automatic multimedia blogging
Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Making slide shows with zoomquilts
Journal of Computer Science and Technology
Employing aesthetic principles for automatic photo book layout
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Community discovery from movie and its application to poster generation
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Arcimboldo-like collage using internet images
Proceedings of the 2011 SIGGRAPH Asia Conference
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Scene collages and flexible camera arrays
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Enhancing news organization for convenient retrieval and browsing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Static saliency vs. dynamic saliency: a comparative study
Proceedings of the 21st ACM international conference on Multimedia
Real-time salient object detection
Proceedings of the 21st ACM international conference on Multimedia
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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.