Elimination of Repeated Occurrences in Image Search Engines
2011
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Abstract (EN)
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.
Author
Dr. Saed Al Qaraleh
How to Cite
Saed Al Qaraleh (Master Thesis). Elimination of Repeated Occurrences in Image Search Engines, 2011, Eastern Mediterranean University, Department of Computer Engineering.
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