@inproceedings{579e8435b2d146f49a1713c0ac37b07e,
title = "Image and its semantic role in search problem",
abstract = "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.",
keywords = "Ontological standard, Search problem redefinition, Search seed, Semantics",
author = "Nasir Touheed and Muhammad Saeed and Qureshi, \{M. Atif\} and Arjumand Younus",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2008.; 4th International Conference on Intelligent Computing, ICIC 2008 ; Conference date: 15-09-2008 Through 18-09-2008",
year = "2008",
doi = "10.1007/978-3-540-85930-7\_50",
language = "English",
isbn = "9783540859291",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "388--397",
editor = "De-Shuang Huang and Wunsch, \{Donald C.\} and Levine, \{Daniel S.\} and Kang-Hyun Jo",
booktitle = "Advanced Intelligent Computing Theories and Applications",
address = "Germany",
}