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Item

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Review on Reverse Image Search Engines and Retrieval Techniques

http://hdl.handle.net/20.500.12678/0000003044
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Review Review on Reverse Image Search Engines and Retrieval Techniques.pdf (178 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title Review on Reverse Image Search Engines and Retrieval Techniques
Language en
Publication date 2015-08-28
Authors
Nay Chi Lynn
Su Su Aung
Description
Reverse image search is content-based image retrieval (CBIR) query technique which involves providing the CBIR system with a sample query im-age then it will base its search upon. Reverse image search can be used to search either data related to the query image or the images related to that image or similar images or exact images. In this study, different features like color, texture, shape, and neuro fuzzy and different techniques like compact compo-site descriptor, fractal image processing, and genetic algorithm have been re-viewed. Different World Wide Web reverse image search engines (Google, Bing, Tineye) that are available and well-known today are also reviewed.
Keywords
Content based image retrieval (CBIR), fractal image processing, compact composite descriptor (CCD), World Wide Web image search engines
Conference papers
ICGEC-2015
26-28 August, 2015
4th International Conference on Genetic and Evolutionary Computing
Yangon, Myanamar
http://bit.kuas.edu.tw/~icgec15/
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0
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