Image Matching for Image Labeling System

Abstract

Interest in the potential of digital images has increased enormously over the last few years, fuelled at least in part by the rapid growth of imaging on the World-Wide Web. Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, and organize and large collections of image data. Many techniques have been proposed for image annotation in the last decade that gives reasonable performance on standard datasets. However, most of these works fail to compare their methods with simple baseline techniques to justify the need for complex models and subsequent training. To segment input image, NCut algorithms are used in this system. In this paper, the image database is created by using segmented parts of an image, nature scene, animals, vegetables, buildings and so on.