Type

Journal Article

Authors

Alan F. Smeaton
Chris J A Moulin
Aiden R. Doherty

Subjects

Music

Topics
environmental monitoring instrumentation humans cues self help devices software microcomputers information storage and retrieval automation photography mental recall user computer interface search engine memory episodic patient satisfaction image processing computer assisted

Automatically assisting human memory: a SenseCam browser. (2010)

Abstract SenseCams have many potential applications as tools for lifelogging, including the possibility of use as a memory rehabilitation tool. Given that a SenseCam can log hundreds of thousands of images per year, it is critical that these be presented to the viewer in a manner that supports the aims of memory rehabilitation. In this article we report a software browser constructed with the aim of using the characteristics of memory to organise SenseCam images into a form that makes the wealth of information stored on SenseCam more accessible. To enable a large amount of visual information to be easily and quickly assimilated by a user, we apply a series of automatic content analysis techniques to structure the images into "events", suggest their relative importance, and select representative images for each. This minimises effort when browsing and searching. We provide anecdotes on use of such a system and emphasise the need for SenseCam images to be meaningfully sorted using such a browser.
Collections Ireland -> Dublin City University -> PubMed

Full list of authors on original publication

Alan F. Smeaton, Chris J A Moulin, Aiden R. Doherty

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 492