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In this paper, we propose a novel strategy at an abstract level by combining textual and visual clustering results to retrieve images using semantic keywords and auto-annotate images based on similarity with existing keywords. Our main hypothesis is that images that fall in to the same textcluster can be described
of correlation. Most of the existing image retrieval systems are based on text search using keywords that are annotated manually which involve the intellectual and emotional sides of the human. But in our proposed system this process is somewhat automatic.
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