AUTOMATIC FACE ANNOTATION OF IMAGES CONTAINED IN MEDIA CONTENT

摘要

Face-containing images within web pages are automatically annotated to identify the people having those faces. The annotation is based on faces detected in the images and named entities detected in text associated with the images. Each candidate named entity may be scored by the prominence of the named entity in the text relative to the other extracted named entities. Queries are sent to a search engine based on the extracted candidate named entities. Sample images are returned. Face similarity calculations may be computed based on the featured faces and sample faces detected in the search engine-returned sample images to associate a probability score between each featured face and each candidate named entity. A bipartite matching instance may be solved to arrive at a maximum likelihood assignment of named entities to featured faces.