Paper Info
Title
Personalized photograph ranking and selection system
Abstract
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.
Year
DOI
Venue
2010
10.1145/1873951.1873963
ACM Multimedia
Keywords
Field
DocType
amateur photograph,example-driven re-ranking,rgb color,photograph ranking,overall system,individual feature,personalized preference,ranking photograph,individual preference,personalized photograph ranking,ordinal ranking,color distribution,aesthetic rules,personalized ranking,selection system,personalized ranking user interface,user study,photograph composition,ranking system,binary classification,face detection,user interface
Ranking,Information retrieval,Binary classification,Computer science,Amateur,Ranking (information retrieval),RGB color model,Face detection,User interface,Multimedia
Conference
Citations 
PageRank 
References 
55
2.14
22
Authors
4
Name
Order
Citations
PageRank
Che-Hua Yeh11077.59
Yuan-Chen Ho2552.14
Brian A. Barsky3585361.48
Ming Ouhyoung41609266.64