Elimination of Repeated Occurrences in Image Search Engines
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Eastern Mediterranean University (EMU)
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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.
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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.
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Computer Engineering, Human Face Recognition (Computer Science), Image Processing - Digital Techniques, Image Search Engines - Query by Example - Hash Algorithm - Information Retrieval
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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.
