Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Content-based image descriptors for enhanced person annotation in personal digital photo archives

Cooray, Saman H. and O'Connor, Noel E. (2009) Content-based image descriptors for enhanced person annotation in personal digital photo archives. In: ICSIPA 2009 - IEEE International Conference on Signal and Image Processing, 18-19 November 2009, Kuala Lumpur, Malaysia. (In Press)

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


In this paper we investigate the use of content-based image descriptors for enhancing the performance of person annotation in personal photo management applications. The descriptors examined are related to the context of person recognition through face and body-patch feature matching in personal digital photos. In order to identify the best performing content-based descriptors, we first study a number of colour and texture descriptors for body-patch matching and face recognition descriptors for face matching using a suitably chosen data set taken from typical personal photo collections. We then analyse the performance of three different fusion schemes to identify the best combination of colour, texture and face recognition descriptors. Finally, we apply those descriptors to the problem of person annotation and measure their performance using a test data set, which comprises 7 different real-life personal photo collections. The experimental results illustrate that combining bodypatch feature matching with face recognition significantly improves the performance of person annotation. We further show that combining colour with texture leads to improved performance of body-patch matching. The content-based image descriptors identified in this paper show great potential for person annotation in personal photo management applications.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:digital images; photos;
Subjects:Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Funders:Science Foundation Ireland
ID Code:14916
Deposited On:01 Oct 2009 10:57 by Saman Cooray. Last Modified 20 Nov 2009 04:02

Download statistics

Archive Staff Only: edit this record