A relevance feedback mechanism for content-based image retrieval |
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| Institution: | 1. Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari “Aldo Moro”, 70124, Bari, Italy;2. Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, 80121, Napoli, Italy;1. Department of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;2. Mechanical Engineering Group, Pardis College, Isfahan University of Technology, Isfahan 84156-83111, Iran;1. Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China;2. Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China;1. Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari “Aldo Moro”, 70124 Bari, Italy;2. Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, 80121 Napoli, Italy;1. School of Materials Science and Engineering, Nanjing Institute of Technology, Nanjing, 211167, China;2. Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology, Nanjing, 211167, China;3. School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China;4. Key Laboratory of Photoinduced Functional Materials, Mianyang Normal University, 621000, Mianyang, China;5. Key Laboratory of Life-Organic Analysis, Qufu Normal University, 273165, Qufu, China;6. School of Science, China Pharmaceutical University, Nanjing, 211198, China |
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| Abstract: | Content-based image retrieval systems require the development of relevance feedback mechanisms that allow the user to progressively refine the system's response to a query. In this paper a new relevance feedback mechanism is described which evaluates the feature distributions of the images judged relevant, or not relevant, by the user and dynamically updates both the similarity measure and the query in order to accurately represent the user's particular information needs. Experimental results demonstrate the effectiveness of this mechanism. |
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