Aesthetic search engine
Abstract:
An improved approach for returning aesthetically relevant search results is disclosed. A training set of images (e.g., designer-created images) is used to train a detection engine that detects items in the images as features. A classification engine is configured to analyze the features and generate classification indices for the features. A user can select an item, and the classification index for the feature corresponding to the item is retrieved. The classification index is used to identify result images, which can be returned ranked according user action data and other parameters, such as style.
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