A Human-Computer Integrated Approach Towards Content Based
A HUMAN-COMPUTER INTEGRATED APPROACH TOWARDS CONTENT BASED IMAGE RETRIEVAL A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy By PHANI KIDAMBI B. Tech., Jawaharlal Nehru Technological University, 2004 M.S., Wright State University, 2006 2010 Wright State University Copyright by Phani Kidambi 2010 WRIGHT STATE UNIVERSITY SCHOOL OF GRADUATE STUDIES November 18, 2010 I HEREBY RECOMMEND THAT THE DISSERTATION PREPARED UNDER MY SUPERVISION BY Phani Kidambi ENTITLED A Human-Computer Integrated Approach towards Content Based Image Retrieval BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Doctor of Philosophy. ______________________________ S. Narayanan, Ph.D., P.E. Dissertation Director ______________________________ Ramana Grandhi, Ph.D. Director, Ph.D. in Engineering Program ______________________________ Andrew Hsu, Ph.D. Dean, School of Graduate Studies Committee on Final Examination ______________________________ S. Narayanan, Ph.D., P.E. ______________________________ Jennie Gallimore, Ph.D. ______________________________ Fred Garber, Ph.D. ______________________________ Yan Liu, Ph.D. ______________________________ Richard Koubek, Ph.D. Abstract Kidambi, Phani. Ph.D., Engineering Ph.D. Program, Wright State University, 2010. A Human- Computer Integrated Approach Towards Content Based Image Retrieval. Digital photography technologies permit quick and easy uploading of any image to the web. Millions of images being are uploaded on the World Wide Web every day by a wide range of users. Most of the uploaded images are not readily accessible as they are not organized so as to allow efficient searching, retrieval, and ultimately browsing. Currently major commercial search engines utilize a process known as Annotation Based Image Retrieval (ABIR) to execute search requests focused on retrieving an image.
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