Evaluating the consistency of immediate aesthetic perceptions of web pages
International Journal of Human-Computer Studies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ranking and classifying attractiveness of photos in folksonomies
Proceedings of the 18th international conference on World wide web
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A crowdsourceable QoE evaluation framework for multimedia content
MM '09 Proceedings of the 17th ACM international conference on Multimedia
ACM Transactions on Computer-Human Interaction (TOCHI)
Synesthetic enrichment of mobile photography
Proceedings of the 2013 ACM international workshop on Immersive media experiences
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This paper presents a novel method for estimating the main factors that influence aesthetic perception of photographs. This goal is achieved by automatically leveraging comments written by professional and knowledgeable photographers in specialized community websites. The statistical analysis of the resulting data shows the importance of multiple visual attributes in aesthetic perception, and their interaction effects with different photography categories. This technique can be applied in personalization and ranking of search results, and has the potential to reveal relevant factors in other domains.