Publication | Closed Access
An effective method for combining multiple features of image retrieval
26
Citations
2
References
2003
Year
Unknown Venue
EngineeringMachine LearningImage RetrievalBiometricsImage DatabaseImage SearchRetrieval SystemImage AnalysisInformation RetrievalData SciencePattern RecognitionBorda Count MethodMultiple FeaturesCme MethodMachine VisionImage SimilarityComputer VisionContent-based Image RetrievalMultimedia Search
We propose an image retrieval system using the Borda count method in combining multiple experts (CME). It combines color-, shape- and texture-based retrieval systems. CME method can complementarily combine results of each retrieval system, which uses different features. There are some problems when the Borda count method in pattern recognition is applied to image retrieval. Thus, we propose a modified Borda count method to solve these problems. In the experiment our method reduces false positive errors and produces better results than that of each retrieval module that uses only one feature.
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