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Combination of content analysis and context features for digital photograph retrieval.

O'Hare, Neil, Gurrin, Cathal ORCID: 0000-0003-4395-7702, Jones, Gareth J.F. ORCID: 0000-0003-2923-8365 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2005) Combination of content analysis and context features for digital photograph retrieval. In: EWIMT 2005 - 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, 30 Nov -1 Dec 2005, London, UK.

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Abstract

In recent years digital cameras have seen an enormous rise in popularity, leading to a huge increase in the quantity of digital photos being taken. This brings with it the challenge of organising these large collections. The MediAssist project uses date/time and GPS location for the organisation of personal collections. However, this context information is not always sufficient to support retrieval when faced with a large, shared, archive made up of photos from a number of users. We present work in this paper which retrieves photos of known objects (buildings, monuments) using both location information and content-based retrieval tools from the AceToolbox. We show that for this retrieval scenario, where a user is searching for photos of a known building or monument in a large shared collection, content-based techniques can offer a significant improvement over ranking based on context (specifically location) alone.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Digital Photograph management; image annotation; context; image content;
Subjects:Engineering > Imaging systems
Computer Science > Information retrieval
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://www.acemedia.org/ewimt2005/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, EI CFTD-03-216, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:391
Deposited On:01 Apr 2008 by DORAS Administrator . Last Modified 25 Oct 2018 13:14

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