Paper Info
Title
Towards aesthetics: a photo quality assessment and photo selection system
Abstract
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.
Year
DOI
Venue
2010
10.1145/1873951.1874089
ACM Multimedia 2001
Keywords
Field
DocType
consumer photo,quintessential photo,automatic photo quality assessment,photo selection,aesthetics-based photo assessment algorithm,optimizing photo composition,towards aesthetics,photo selection system,consumer photo album,entire system,cropping-based photo editing algorithm,photo evaluation,web interface
Aesthetics,Computer vision,Computer science,Cropping,Artificial intelligence,User interface,Multimedia,Mount,Photo editing
Conference
Citations 
PageRank 
References 
37
1.23
14
Authors
3
Name
Order
Citations
PageRank
Congcong Li124016.48
Alexander C. Loui277358.76
Tsuhan Chen34763346.32