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Image Retrieval by Image

Authors: Mahshid Eltemasi;

Image Retrieval by Image

Abstract

Sometimes we have only an image that we should get our information by that. There are many search engines and software's that can search images but all of them don’t have the ability to search for similar images, image search by image. In this paper first, we explained performance, algorithmic search, and retrieval power of 2 powerful search engines (google, TinEye) then we compared retrieval power of them using relevance formula. Then, 2 important software's in discover of similar pictures in databases " Image Comparer" and " Similar Picture Find" In terms of performance, the algorithms used in image retrieval and its power has been investigated and compared them. We used Qualitative Research by Comparative methods. Our investigation showed "google" and " investigated" are more powerful than anothers. Keywords

Keywords

Bibliography. Library science. Information resources, Z

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold