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Content identification and search in visual lifelogs

Smeaton, Alan F. (2011) Content identification and search in visual lifelogs. In: The Second Workshop on Visual Content Identification and Search (VCIDS'11), in conjuction with IEEE ICME 2011, 11 July 2011, Barcelona, Spain.

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Over recent years we have developed technologies we can now use to analyse, index, browse and search visual content, including still image and moving video. We've used metadata captured when the content was created, we've used social tagging and other user-generated content, and we've used within-frame information including colour, shape and texture. In the vast majority of applications of searching and identifying things in visual content we've used still images, mostly photos, and we've used video, including movies, TV news, other TV content, home movies and surveillance video. In the vast majority of these applications the end-goal has been to search for clips, or to summarise long video segments into something shorter. In some of our recent work we have been working with visual lifelogs, images captured from wearable cameras, both still images and moving video. This video has different challenges to some of the other video genres, but we can make good progress in applying content-based techniques to lifelog video, when the application is search. However, when we go beyond search, or summarisation, as the application then we can achieve a surprising amount of progress and reveal quite deep insights when analysing visual lifelog. This presentation will present our work on this topic.

Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Workshop
Uncontrolled Keywords:SenseCam
Subjects:Computer Science > Lifelog
Medical Sciences > Geriatric nursing
Computer Science > Information storage and retrieval systems
Computer Science > Digital video
Computer Science > Image processing
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:16456
Deposited On:15 Jul 2011 14:45 by Alan Smeaton. Last Modified 08 Feb 2013 10:52

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