Publications
Detailed Information
Modeling photo composition and its application to photo re-arrangement
Cited 29 time in
Web of Science
Cited 40 time in Scopus
- Authors
- Issue Date
- 2012
- Publisher
- ICIP
- Citation
- Proceedings - International Conference on Image Processing, ICIP, pp.2741-2744
- Abstract
- We introduce a learning based photo composition model and its application on photo re-arrangement. In contrast to previous approaches which evaluate quality of photo composition using the rule of thirds or the golden ratio, we train a normalized saliency map from visually pleasurable photos taken by professional photographers. We use Principal Component Analysis (PCA) to analyze training data and build a Gaussian mixture model (GMM) to describe the photo composition model. Our experimental results show that our approach is reliable and our trained photo composition model can be used to improve photo quality through photo re-arrangement. © 2012 IEEE.
- ISSN
- 1522-4880
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.