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Combining image descriptors to effectively retrieve events from visual lifelogs
Doherty, Aiden R.; Ó Conaire, Ciarán; Blighe, Michael; Smeaton, Alan F.; O'Connor, Noel E.
The SenseCam is a wearable camera that passively captures approximately 3,000 images per day, which equates to almost one million images per year. It is used to create a personal visual recording of the wearer's life and generates information which can be helpful as a human memory aid. For such a large amount of visual information to be of any use, it is accepted that it should be structured into "events", of which there are about 8,000 in a wearer's average year. In automatically segmenting SenseCam images into events, it will then be useful for users to locate other events similar to a given event e.g. "what other times was I walking in the park?", "show me other events when I was in a restaurant". On two datasets of 240k and 1.8M images containing topics with a variety of information needs, we evaluate the fusion of MPEG-7, SIFT, and SURF content-based retrieval techniques to address the event search issue. We have found that our proposed fusion approach of MPEG-7 and SURF offers an improvement on using either of those sources or SIFT individually, and we have also shown how a lifelog event is modeled has a large effect on the retrieval performance.
Keyword(s): Lifelog; Multimedia systems; Information retrieval; Image processing
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Doherty, Aiden R. ORCID: 0000-0003-4395-7702 <>, Ó Conaire, Ciarán, Blighe, Michael, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <> and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <> (2008) Combining image descriptors to effectively retrieve events from visual lifelogs. In: MIR 2008 - ACM International Conference on Multimedia Information Retrieval, 30-31 October, Vancouver, Canada.
Publisher(s): Association for Computing Machinery
File Format(s): application/pdf
Related Link(s):,
First Indexed: 2009-11-05 02:01:02 Last Updated: 2019-02-09 07:01:38