STUDYING AESTHETICS IN PHOTOGRAPHIC IMAGES USING A COMPUTATIONAL APPROACH
First Claim
1. A computer-based method of inferring and utilizing the aesthetic quality of photographs and other images, comprising the steps of:
- receiving a plurality of digitized images along with aesthetic-based ratings of the images provided by viewers of the images;
performing one or more software operations on the digitized images to automatically extract a plurality of visual features representative of each image; and
using one or more statistical methods to correlate the extracted visual features and the aesthetic-based viewer ratings to classify image on the basis of its aesthetic value, rate image on a scale relating to its aesthetics value, or select/eliminate image based upon aesthetic quality.
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Abstract
The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings.
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Citations
20 Claims
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1. A computer-based method of inferring and utilizing the aesthetic quality of photographs and other images, comprising the steps of:
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receiving a plurality of digitized images along with aesthetic-based ratings of the images provided by viewers of the images; performing one or more software operations on the digitized images to automatically extract a plurality of visual features representative of each image; and using one or more statistical methods to correlate the extracted visual features and the aesthetic-based viewer ratings to classify image on the basis of its aesthetic value, rate image on a scale relating to its aesthetics value, or select/eliminate image based upon aesthetic quality. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification