Abstract
We present a novel, yet simple algorithm for clustering large collections of digital images. The method is applicable to consumer digital photo libraries, where it can be used to organise a photo-album, enhancing the search/browse capability and simplifying the interface in the process. The method is based on standard MPEG-7 visual content descriptors, which, when combined with date and time metadata, provide powerful cues to the semantic structure of the photo collection. Experiments are presented showing how the proposed method closely matches consensus human judgements of cluster structure.
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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O’Callaghan, R., Bober, M. (2005). MPEG-7 Visual-Temporal Clustering for Digital Image Collections. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_26
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DOI: https://doi.org/10.1007/11562382_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29186-2
Online ISBN: 978-3-540-32001-2
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