Elimination of Repeated Occurrences in Image Search Engines

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dc.contributor.author	Al Qaraleh, Saed
dc.date.accessioned	2012-12-03T09:33:32Z
dc.date.available	2012-12-03T09:33:32Z
dc.date.issued	2011
dc.identifier.citation	Al Qaraleh, Saed. (2011). Elimination of Repeated Occurrences in Image Search Engines. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Computer Engineering, Famagusta: North Cyprus.	en_US
dc.identifier.uri	http://hdl.handle.net/11129/128
dc.description	Master of Science in Computer Engineering. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineering, 2011. Supervisor: Assoc. Prof. Dr. Hadi Işık Aybay.	en_US
dc.description.abstract	We propose a new method for elimination of repeated occurrences in image search engines. We have built software that: Compares images in a database, and marks only one copy of repeating files using a hashing technique. Marking one of the repeating images will lead to faster access and will eliminate the repetition of the same images more than once. The software can work periodically, for dealing with any updates on the image database. We have developed another version of the software to be multipurpose, making use of the query by example tool, and it can also find images which are similar to each other within some percentages limits.	en_US
dc.language.iso	en	en_US
dc.publisher	Eastern Mediterranean University (EMU)	en_US
dc.subject	Computer Engineering	en_US
dc.subject	Human Face Recognition (Computer Science)	en_US
dc.subject	Image Processing - Digital Techniques	en_US
dc.subject	Image Search Engines - Query by Example - Hash Algorithm - Information Retrieval	en_US
dc.title	Elimination of Repeated Occurrences in Image Search Engines	en_US
dc.type	Thesis	en_US