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

Semi-automatic person-annotation in context-aware personal photo collections

O'Hare, Neil (2007) Semi-automatic person-annotation in context-aware personal photo collections. PhD thesis, Dublin City University.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
38Mb

Abstract

Recent years have seen a revolution in photography with a move away from analogue film capture towards digital capture technologies, resulting m the accumulation of large numbers of personal digital photos. This means that people now have very large collections of their own personal photos, which they must manage and organise. In this thesis we present a prototype context-aware photo management system called MediAssist, which facilitates browsing, searching and semi-automatic annotation of personal photos. We propose an approach to semi-automatic person-annotation in personal photo collections that facllltates the annotation of people in personal photo collections in a batch manner, by suggesting annotations to users as they interact with the system. We propose person classlficatlon and retrieval techniques based on analysis of the context of photo capture in addition to analysis of the image content of the photo We use classification techmques to suggest names for faces detected in photos, and retrieval techniques suggest faces for a query name We implement the proposed techniques and integrate them into the interface of the MediAssist prototype photo management system. We provlde a comprehensive empirical study of the proposed person classification and retrieval techniques, using the real photo collections of a number of users. We also conduct a user study which confirms the effectiveness of the semi automatic person-annotation approach, and the utility of the system for real users when used as part of a photo management system

Item Type:Thesis (PhD)
Date of Award:2007
Refereed:No
Supervisor(s):Smeaton, Alan F.
Uncontrolled Keywords:personal digital archives; photo collections; photo management system; semi-automatic person-annotation
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:16997
Deposited On:14 May 2012 14:32 by Fran Callaghan. Last Modified 14 May 2012 14:32

Download statistics

Archive Staff Only: edit this record