Active shape models—their training and application
Computer Vision and Image Understanding
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The Design of High-Level Features for Photo Quality Assessment
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Photo and Video Quality Evaluation: Focusing on the Subject
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Feature classification for representative photo selection
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Sensation-based photo cropping
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Studying aesthetics in photographic images using a computational approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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Automatic photo quality assessment and selection systems are helpful for managing the large mount of consumer photos. In this paper, we present such a system based on evaluating the aesthetic quality of consumer photos. The proposed system focuses on photos with faces, which constitute an important part of consumer photo albums. The system has three contributions: 1) We propose an aesthetics-based photo assessment algorithm, by considering different aesthetics-related factors, including the technical characteristics of the photo and the specific features related to faces; 2) Based on the aesthetic measurement, we propose a cropping-based photo editing algorithm, which differs from prior works by eliminating unimportant faces before optimizing photo composition; 3) We also incorporate the aesthetic evaluation with other metrics to select quintessential photos for a large collection of photos. The entire system is delivered by a web interface, which allows users to submit images or albums, and returns promising results for photo evaluation, editing recommendation, and photo selection.