Abstract
To deal with the rising need of perception based image retrieval, we present a novel approach of fuzzy image retrieval. Indeed, with an abrupt increase in crimes, the whole world is looking forward for an intelligent image retrieval system, which retrieves facial features of criminals as input queries. The present work is focused towards retrieving fuzzy images, with features in perceptions as inputs. We begin with retrieving fuzzy geometric shapes by describing its features in natural language propositions as query. Zadeh proposed computing with words (CW) which deals with perceptions, wherein the natural language is a major source of perceptions. That is, the perception based information is the inputs for image retrieval. We devise our image retrieval system with query processing, search module and Lucene. Moreover, the ranking of retrieving fuzzy objects is based on the highest value of query relevance vector. We found that the fuzzy geometric shapes are retrieved correctly based on the perception based query.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Imran, B.M., Beg, M.M.S. (2012). Towards Perception Based Image Retrieval. In: Meghanathan, N., Chaki, N., Nagamalai, D. (eds) Advances in Computer Science and Information Technology. Computer Science and Information Technology. CCSIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27317-9_29
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DOI: https://doi.org/10.1007/978-3-642-27317-9_29
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