Content-based image collection summarization and comparison using self-organizing maps. (English) Zbl 1118.68138

Summary: Progresses made on content-based image retrieval have reactivated the research on image analysis and a number of similarity-based methods have been established to assess the similarity between images. In this paper, the content-based approach is extended towards the problem of image collection summarization and comparison. For these purposes we propose to carry out clustering analysis on visual features using self-organizing maps, and then evaluate their similarity using a few dissimilarity measures implemented on the feature maps. The effectiveness of these dissimilarity measures is then examined with an empirical study.


68T10 Pattern recognition, speech recognition
68U10 Computing methodologies for image processing
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