A METHOD AND SYSTEM FOR IDENTIFYING MULTIPLE ENTITIES IN IMAGES

摘要

The present invention provides a method for identifying multiple entities in a learned image. The present invention utilizes a visual knowledge-base storing multiple predefined visual features of various entities. The learned image is sectioned into a plurality of image sub-sections and visual features information from each of the plurality of sub-section images is thereafter extracted. The extracted visual features information of the sub-section images is compared with those stored in the knowledgebase. The visual similarity between the extracted visual features information of the sub-section images and the stored visual features is rated. Based on the visual similarity rate, entities of the image can thereby be identified.