In this work, we propose a novel relevance feedback approach which directly aims at extracting a set of samples to represent the query region, regardless of its ...
Abstract. Conventional approaches to relevance feedback in content- based image retrieval are based on the assumption that relevant images.
Bibliographic details on Building a Compact Relevant Sample Coverage for Relevance Feedback in Content-Based Image Retrieval.
In this work, we propose a novel relevance feedback approach which directly aims at extracting a set of samples to represent the query region, regardless of its ...
Abstract. We analyze the nature of the relevance feedback problem in a continuous representation space in the context of content-based image retrieval.
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In this thesis, we present a query point movement approach using both relevant and irrelevant images to catch the user semantics. The relevance feedback ...
Overview of our relevance feedback approach - ResearchGate
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Conventional approaches to relevance feedback in content-based image retrieval are based on the assumption that relevant images are physically close to the ...
The difficulty and cost of providing rich and reliable textual annotations for images in large databases, as well as the “linguistic gap” associated to.
Missing: Building Compact Coverage
Content-Based Image Retrieval has been an active research area for decades. In a CBIR system, one or more images are used as query to search for similar ...
This paper proposes a new content-based image retrieval method using adaptive classification and cluster-merging to find multiple clusters of a complex ...