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Title: MPEG-7 Based Image Retrieval on the World Wide Web
Authors: Agrawal, Rajeev
Fotouhi, Farshad
Stanchev, Peter
Dong, Ming
Keywords: XML
Content Based Image Retrieval (CBIR)
Issue Date: 2004
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Due to the rapid growth of the number of digital media elements like image, video, audio, graphics on Internet, there is an increasing demand for effective search and retrieval techniques. Recently, many search engines have made image search as an option like Google, AlltheWeb, AltaVista, Freenet. In addition to this, Ditto, Picsearch, can search only the images on Internet. There are also other domain specific search engines available for graphics and clip art, audio, video, educational images, artwork, stock photos, science and nature []. These entire search engines are directory based. They crawls the entire Internet and index all the images in certain categories. They do not display the images in any particular order with respect to the time and context. With the availability of MPEG-7, a standard for describing multimedia content, it is now possible to store the images with its metadata in a structured format. This helps in searching and retrieving the images. The MPEG-7 standard uses XML to describe the content of multimedia information objects. These objects will have metadata information in the form of MPEG-7 or any other similar format associated with them. It can be used in different ways to search the objects. In this paper we propose a system, which can do content based image retrieval on the World Wide Web. It displays the result in user-defined order.
ISSN: 1313-0463
Appears in Collections:Volume 11 Number 2

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