A METHOD AND SYSTEM FOR IDENTIFYING MULTIPLE ENTITIES IN IMAGES

The present invention provides a method for identifying multiple entities in a learned image. The present invention utilizes a visual knowledge-base storing multiple pre-defined visual features of various entities. The learned image is sectioned (204) into a plurality of image sub-sections and visual features information from each of the plurality of sub-section images is thereafter extracted (206). The extracted visual features information of the sub-section images is compared (208) with those stored in the knowledge-base. The visual similarity between the extracted visual features information of the sub-section images and the stored visual features is rated (210). Based on the visual similarity rate, entities of the image can thereby be identified (214). A system for identifying multiple entities is also provided.