Relevance Feedback in Content Based Image Retrieval: A Review
This paper provides an overview of the technical achievements in the research area of relevance feedback (RF) in content-based image retrieval (CBIR). Relevance feedback is a powerful technique in CBIR systems, in order to improve the performance of CBIR effectively. It is an open research area to t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2011-01-01
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| Series: | Journal of Applied Computer Science & Mathematics |
| Subjects: | |
| Online Access: | http://jacs.usv.ro/getpdf.php?issue=10&paperid=106 |
| _version_ | 1811234005565046784 |
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| author | Manesh B. Kokare Pushpa B. Patil |
| author_facet | Manesh B. Kokare Pushpa B. Patil |
| author_sort | Manesh B. Kokare |
| collection | DOAJ |
| description | This paper provides an overview of the technical achievements in the research area of relevance feedback (RF) in content-based image retrieval (CBIR). Relevance feedback is a powerful technique in CBIR systems, in order to improve the performance of CBIR effectively. It is an open research area to the researcher to reduce the semantic gap between low-level features and high level concepts. The paper covers the current state of art of the research in relevance feedback in CBIR, various relevance feedback techniques and issues in relevance feedback are discussed in detail. |
| first_indexed | 2024-04-12T11:28:15Z |
| format | Article |
| id | doaj.art-0c3cd9ad5ced44bbab7adbf6b4d30db7 |
| institution | Directory Open Access Journal |
| issn | 2066-4273 2066-3129 |
| language | English |
| last_indexed | 2024-04-12T11:28:15Z |
| publishDate | 2011-01-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Journal of Applied Computer Science & Mathematics |
| spelling | doaj.art-0c3cd9ad5ced44bbab7adbf6b4d30db72022-12-22T03:35:06ZengStefan cel Mare University of SuceavaJournal of Applied Computer Science & Mathematics2066-42732066-31292011-01-015104147Relevance Feedback in Content Based Image Retrieval: A ReviewManesh B. KokarePushpa B. PatilThis paper provides an overview of the technical achievements in the research area of relevance feedback (RF) in content-based image retrieval (CBIR). Relevance feedback is a powerful technique in CBIR systems, in order to improve the performance of CBIR effectively. It is an open research area to the researcher to reduce the semantic gap between low-level features and high level concepts. The paper covers the current state of art of the research in relevance feedback in CBIR, various relevance feedback techniques and issues in relevance feedback are discussed in detail.http://jacs.usv.ro/getpdf.php?issue=10&paperid=106Relevance FeedbackLong-term LearningShort-term LearningImage RetrievalContent-based Image RetrievalSemantics |
| spellingShingle | Manesh B. Kokare Pushpa B. Patil Relevance Feedback in Content Based Image Retrieval: A Review Journal of Applied Computer Science & Mathematics Relevance Feedback Long-term Learning Short-term Learning Image Retrieval Content-based Image Retrieval Semantics |
| title | Relevance Feedback in Content Based Image Retrieval: A Review |
| title_full | Relevance Feedback in Content Based Image Retrieval: A Review |
| title_fullStr | Relevance Feedback in Content Based Image Retrieval: A Review |
| title_full_unstemmed | Relevance Feedback in Content Based Image Retrieval: A Review |
| title_short | Relevance Feedback in Content Based Image Retrieval: A Review |
| title_sort | relevance feedback in content based image retrieval a review |
| topic | Relevance Feedback Long-term Learning Short-term Learning Image Retrieval Content-based Image Retrieval Semantics |
| url | http://jacs.usv.ro/getpdf.php?issue=10&paperid=106 |
| work_keys_str_mv | AT maneshbkokare relevancefeedbackincontentbasedimageretrievalareview AT pushpabpatil relevancefeedbackincontentbasedimageretrievalareview |