NDLI: Content-based photo quality assessment

Content Provider	IEEE Xplore Digital Library
Author	Wei Luo Xiaogang Wang Xiaoou Tang
Copyright Year	2011
Description	Author affiliation: Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong (Wei Luo; Xiaoou Tang) \|\| Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong (Xiaogang Wang)
Abstract	Automatically assessing photo quality from the perspective of visual aesthetics is of great interest in high-level vision research and has drawn much attention in recent years. In this paper, we propose content-based photo quality assessment using regional and global features. Under this framework, subject areas, which draw the most attentions of human eyes, are first extracted. Then regional features extracted from subject areas and the background regions are combined with global features to assess the photo quality. Since professional photographers may adopt different photographic techniques and may have different aesthetic criteria in mind when taking different types of photos (e.g. landscape versus portrait), we propose to segment regions and extract visual features in different ways according to the categorization of photo content. Therefore we divide the photos into seven categories based on their content and develop a set of new subject area extraction methods and new visual features, which are specially designed for different categories. This argument is supported by extensive experimental comparisons of existing photo quality assessment approaches as well as our new regional and global features over different categories of photos. Our new features significantly outperform the state-of-the-art methods. Another contribution of this work is to construct a large and diversified benchmark database for the research of photo quality assessment. It includes 17, 613 photos with manually labeled ground truth.
Starting Page	2206
Ending Page	2213
File Size	4026296
Page Count	8
File Format	PDF
ISBN	9781457711015
ISSN	15505499
e-ISBN	9781457711022
DOI	10.1109/ICCV.2011.6126498
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Image color analysis Humans Lighting Brightness Layout Quality assessment
Content Type	Text
Subject	Computer Vision and Pattern Recognition Software

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