How to complete performance graphs in content-based image retrieval: add generality and normalize scope

The performance of a content-based image retrieval (CBIR) system, presented in the form of precision-recall or precision-scope graphs, offers an incomplete overview of the system under study: the influence of the irrelevant items (embedding) is obscured. We propose a comprehensive and well-normalize...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2005-02, Vol.27 (2), p.245-251
Hauptverfasser:	Huijsmans, D.P., Sebe, N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Computer science control theory systems Computer Simulation Content based retrieval content-based image retrieval Databases, Factual Exact sciences and technology Graphs Humans Image databases Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image retrieval Index Terms- Multimedia information systems Indexing Information retrieval Information Storage and Retrieval - methods Information systems Intelligence NIST Pattern analysis Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry performance evaluation Queries Recall Reproducibility of Results Retrieval Sensitivity and Specificity Size measurement Subtraction Technique Testing Two dimensional
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