Content-Based Photo Quality Assessment

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 aesthetical 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...

• Type: Journal
• Year: 2011
• Where: ICCV
• Authors: Wei Luo, Xiaogang Wang, Xiaoou Tang
• Keywords: Benchmark Database, Computer Vision, Global Features, ICCV 2011, Visual Aesthetics