Book Chapter or Conference Paper Title
Image and its semantic role in search problem
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
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4th International Conference on Intelligent Computing (ICIC 2008)
15-18 September 2008
Springer, Berlin, Heidelberg
Abstract / Description
The world has now shrunk and information today exists in many forms ranging from text to videos. An overloaded World Wide Web, full of data makes it difficult to extract information from that data and this has given birth to a new phenomenon in the computer industry which is the search engine technology. Image that contains dense information has not yet found its real interpretation over search engines. In this paper we practice application of Semantic Web concepts and propose a standard dimension in image structures in order to improve searching ability in image search engines. An image annotation tool, called "SemImage", was developed which allows users to annotate an image with various ontologies and JPEG was taken as a case-study. This work describes our initial research efforts in semantics-based searching driven by ontological standards for images which we refer to as Image SemSearch.
Touheed, N., Saeed, M., Qureshi, M. A., & Younus, A. (2008, September). Image and Its Semantic Role in Search Problem. In International Conference on Intelligent Computing (pp. 388-397). Springer, Berlin, Heidelberg.
Touheed, N., Saeed, M., Qureshi, M. A., & Younus, A. (2008). Image and its semantic role in search problem., 15, 388-397. https://doi.org/10.1007/978-3-540-85930-7_50