A Unified Approach to Indexing Multimedia on the Web
نویسندگان
چکیده
Indexing multimedia Web documents can be regarded as an important part of Web engineering, a concept first proposed [19] by one of the authors and his collaborators in 1998 at the World Wide Web WWW7 conference in Brisbane, Australia. Contentbased indexing of multimedia has always been a challenging task. The enormity and diversity of the multimedia content on the World Wide Web (WWW) adds another dimension to this challenge. Today multimedia elements are increasingly being embedded in Web documents, and are being actively used to enhance the description of the document content. Since such documents over the WWW provide a rich source of information, the use of multimedia elements in Web documents has become very prevalent. In this paper, we first give a thorough review on the existing literature related to the traditional content-based image retrieval (CBIR) systems along with the methodology of relevance feedback. We then propose a unified approach for image indexing and retrieval for our Image Search retrieval system that performs relevance feedback on both the images’ semantic contents represented by parts of the Web document as well as the low-level visual features. In addition, we will establish an approach with which semantic content and low-level features can be seamlessly integrated for the relevance feedbacks. More specifically, we will examine closely a number of ways that would combine visual and textual information for the content based indexing of multimedia on the Web. In particular, we will also propose and scrutinize different strategies of incorporating various mono media indexing approaches to create a multimedia indexing scheme for the purpose of image searches.
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