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Feb 5, 2018 · The main idea of RF is letting the user participate in CBIR system and ameliorating image retrieval result. In general, RF is a supervised ...
In this paper, a novel relevance feedback method is proposed to improve the retrieval performance of CBIR. By moving the query vector and updating the ...
Relevance Feedback (RF) is a powerful technique in. Content-Based Image Retrieval (CBIR) system and has become a very active research topic in the past few ...
A novel relevance feedback method is proposed to improve the retrieval performance of CBIR by moving the query vector and updating the weighting factors ...
In this paper, we address the challenge about insufficiency of training set and limited feedback information in each relevance feedback (RF) round during ...
Jun 21, 2020 · Relevance Feedback in Content-Based Image Retrieval is a method where the feedback of the performance is being used to improve itself.
In this paper, we propose a novel scheme to study the log-based relevance feedback (LRF) technique for improving retrieval performance and reducing the semantic ...
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A novel active learning scheme to utilize the labeled and unlabeled images to build the initial Support Vector Machine (SVM) classifier for image retrieving ...
Aug 29, 2020 · Relevance feedback is a method where we take feedback from users after image retrieval and use this feedback to improve the retrieval accuracy ...
Content-Based Image Retrieval (CBIR) systems provide a way to search for images which are not annotated with text, by using image features such as color, shape ...