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Identifying person re-occurrences for personal photo management applications

Cooray, Saman H. and O'Connor, Noel E. and Gurrin, Cathal and Jones, Gareth J.F. and O'Hare, Neil and Smeaton, Alan F. (2006) Identifying person re-occurrences for personal photo management applications. In: VIE 2006 - IET International Conference on Visual Information Engineering, 26-28 Sept. 2006, Bangalore, India.

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Abstract

Automatic identification of "who" is present in individual digital images within a photo management system using only content-based analysis is an extremely difficult problem. The authors present a system which enables identification of person reoccurrences within a personal photo management application by combining image content-based analysis tools with context data from image capture. This combined system employs automatic face detection and body-patch matching techniques, which collectively facilitate identifying person re-occurrences within images grouped into events based on context data. The authors introduce a face detection approach combining a histogram-based skin detection model and a modified BDF face detection method to detect multiple frontal faces in colour images. Corresponding body patches are then automatically segmented relative to the size, location and orientation of the detected faces in the image. The authors investigate the suitability of using different colour descriptors, including MPEG-7 colour descriptors, color coherent vectors (CCV) and color correlograms for effective body-patch matching. The system has been successfully integrated into the MediAssist platform, a prototype Web-based system for personal photo management, and runs on over 13000 personal photos.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:No
Subjects:Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:Institution of Engineering and Technology
Official URL:http://dx.doi.org/10.1049/cp:20060518
Copyright Information:This paper is a postprint of a paper submitted to and accepted for publication in IET International Conference on Visual Information Engineering (VIE 2006) and is subject to IET copyright. The copy of record is available at IET Digital Library http://dx.doi.org/10.1049/cp:20060518 .
Funders:Enterprise Ireland, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:257
Deposited On:07 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 13:45

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