This paper proposes a study on the evaluation of relevance feedback approaches when a multi-tagged dataset is available. The aim of this study is to verify ...
Abstract—This paper proposes a study on the evaluation of relevance feedback approaches when a multi-tagged dataset is available. The aim of this study is ...
This paper proposes a study on the evaluation of relevance feedback approaches when a multi-tagged dataset is available. The aim of this study is to verify ...
This paper proposes a study on the evaluation of relevance feedback approaches when a multi-tagged dataset is available. The aim of this study is to verify ...
The purpose of this paper is to evaluate the performances of relevance feedback techniques in content-based image retrieval scenarios with multi-tag datasets, ...
Missing: Study | Show results with:Study
The purpose of this paper is to evaluate the performances of relevance feedback techniques in content-based image retrieval scenarios with multi-tag datasets, ...
The purpose of this paper is to evaluate the performances of relevance feedback techniques in content-based image retrieval scenarios with multi-tag datasets, ...
Missing: Study | Show results with:Study
In this paper, the authors also propose two novel performance measures aimed at comparing the accuracy of retrieval results when an image is used as a prototype ...
Missing: Study | Show results with:Study
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What is user relevance feedback in information retrieval?
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In this chapter we present Image Hunter, a tool that implements a Content Based Image Retrieval (CBIR) engine with a Relevance Feedback mechanism. Thanks to a ...
This paper presents a collection for the MIR community comprising 25000 images from the Flickr website which are redistributable for research purposes.