Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Gaze-based interaction for semi-automatic photo cropping
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM SIGGRAPH 2006 Papers
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
Aesthetic Primitives of Images for Visualization
IV '07 Proceedings of the 11th International Conference Information Visualization
Learning to rank: from pairwise approach to listwise approach
Proceedings of the 24th international conference on Machine learning
ContextSeer: context search and recommendation at query time for shared consumer photos
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Photo and Video Quality Evaluation: Focusing on the Subject
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Ranking and classifying attractiveness of photos in folksonomies
Proceedings of the 18th international conference on World wide web
Photo assessment based on computational visual attention model
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
An esthetics rule-based ranking system for amateur photos
ACM SIGGRAPH ASIA 2009 Sketches
Studying aesthetics in photographic images using a computational approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
An information fidelity criterion for image quality assessment using natural scene statistics
IEEE Transactions on Image Processing
Composition principles for quality depiction and aesthetics
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Scenic photo quality assessment with bag of aesthetics-preserving features
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Personalized portraits ranking
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Prediction of the inter-observer visual congruency (IOVC) and application to image ranking
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Leveraging user comments for aesthetic aware image search reranking
Proceedings of the 21st international conference on World Wide Web
Content-Aware image resizing based on aesthetic
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Privacy-aware image classification and search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Real-Time viewfinder composition assessment and recommendation to mobile photographing
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Aesthetic capital: what makes london look beautiful, quiet, and happy?
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Hi-index | 0.00 |
In this paper, we propose a novel personalized ranking system for amateur photographs. Although some of the features used in our system are similar to previous work, new features, such as texture, RGB color, portrait (through face detection), and black-and-white, are included for individual preferences. Our goal of automatically ranking photographs is not intended for award-wining professional photographs but for photographs taken by amateurs, especially when individual preference is taken into account. The performance of our system in terms of precision-recall diagram and binary classification accuracy (93%) is close to the best results to date for both overall system and individual features. Two personalized ranking user interfaces are provided: one is feature-based and the other is example-based. Although both interfaces are effective in providing personalized preferences, our user study showed that example-based was preferred by twice as many people as feature-based.