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Title |
Image Retrieval: History, Current Approaches, and Promising Framework |
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Author |
Sayed Omid Azarkasb |
| Citation |
Vol. 13 No. 7 pp. 121-129 |
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Abstract |
Today, by dominant use of the world computer networks, the volume of image database is increased and retrieving the required image similar with the image is a serious need. Here having a dynamic and flexible framework can help considerably in the design of an image retrieval system with high accuracy. In this study, by the investigation and analysis of three systems of current famous systems of retrieving and emphasis on weaknesses and strengths of the systems, presented a general framework for image retrieval systems. The important issue is that an ideal image retrieval system should be able to automatically extract semantic content and make the images indexing. |
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Keywords |
Image retrieval, GIFT, Schema, MUVIS |
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