Automatic Photo Ranking Based on Esthetics Rules ofhotography
Date Issued
2009
Date
2009
Author(s)
Ng, Wai-Seng
Abstract
Due to the popularity of digital photography, taking, viewing, and preserving photos are much easier. Nevertheless, not many people are familiar with photo esthetics rules, such as composition and color distribution. As an tool, we introduce a quantitative analysis method of photo composition based on well-known photography rules, such as horizon balance, intensity balance, locations of region-of-interests (ROIs), line patterns and merger avoidance. The weighting factors for each of the rules are determined by an experiment involving 500 photos from Flickr sites and dozens of subjects. Support Vector Regression techniques are first used to quantify and ”predict” human evaluation, then results from more than 10,000 photos from Flickr are used for theinal user study. The user study experiment corroborates with our initial hypothesis that automatic photo ranking is effective. Furthermore, 2000 photos from dpchallenge website are used for training (1000) and test (1000), withwo class classification to find the better and worse ones, and we are able to get 80.9% accuracy as compared to human rating.
Subjects
Image ranking
photo composition
photography esthetics
Type
thesis
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