MPEG-7 Visual-Temporal Clustering for Digital Image Collections

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.

• Type: Conference
• Year: 2005
• Where: AIRS
• Authors: Robert O'Callaghan, Miroslaw Bober
• Keywords: AIRS 2005, Consensus Human Judgements, Digital Photo Libraries, Information Retrieval, MPEG-7 Visual Content