The role of textual keywords for capturing the high-level semantics of an image in HTML document is studied. It is observed that the keywords present in HTML documents can be effectively used for describing the high-level semantics of the images appear in the same document. Techniques for processing HTML documents and Tag Ranking for Image Retrieval (TRIR) is explained for capturing semantic information about the images for retrieval applications. A retrieval system returns a large number of images for a query and hence it is difficult to display the most relevant images in top results. This chapter presents newly developed method for ranking the images in Web documents based on the properties of HTML TAGS in web documents for image retrieval from WWW.
Intelligent Social Networks Model Based on Semantic Tag Ranking