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that are more similar are considered to be entries of a dictionary associated with the initial keyword used for the query. Moreover, the corresponding regions are parts of the visual lexicon describing the keyword. Also, an already existing lexicon may be iteratively updated by new features that may not match the existing
This paper presents a new method of automatic image annotation based on visual cognitive theory that improves the accuracy of image recognition by taking two semantic levels of keywords that give feedback to each other into consideration. Our system first segments an image and recognizes objects in the K-Nearest
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.