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Information retrieval challenges of maintaining a context-aware human digital memory

Gurrin, Cathal orcid logoORCID: 0000-0003-4395-7702 (2008) Information retrieval challenges of maintaining a context-aware human digital memory. In: Invited Seminar, 08 October 2008, Chinese Academy of Sciences, Beijing, China.

Abstract
The volume of personal digital data captured from today's content creation devices, such as digital cameras, digital video recorders and sensecams pose many challenges for organising and retrieving content for users. By utilising content and contextual analysis along with an understanding of the usage scenarios involved, it is possible to develop effective information retrieval technologies for these personal archives. In this talk I will discuss how we, at the Centre for Digital Video Processing, Dublin City University, have employed both content and contextual analysis to automatically organise human digital memory (sensecam) collections and I will focus specifically on how we have employed techniques from photo and video retrieval in the novel domain of human digital memories.
Metadata
Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Seminar
Refereed:No
Subjects:Computer Science > Interactive computer systems
Medical Sciences > Mental health
Computer Science > Multimedia systems
Computer Science > Computer software
Computer Science > Information storage and retrieval systems
Computer Science > Digital video
Computer Science > Information retrieval
Computer Science > World Wide Web
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 07/CE/I1147
ID Code:662
Deposited On:28 Oct 2008 11:54 by Cathal Gurrin . Last Modified 02 Nov 2018 15:48
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