Constructing a SenseCam visual diary as a media process
- 304 Downloads
The SenseCam is a small wearable personal device which automatically captures up to 2,500 images per day. This yields a very large personal collection of images, or in a sense a large visual diary of a person’s day. Intelligent techniques are necessary for effective structuring, searching and browsing of this image collection for locating important or significant events in a person’s life. In this paper we identify three stages in the process of capturing and structuring SenseCam images and then displaying them to an end user to review. These stages are expressed in terms of the Canonical process stages to which they correlate.
KeywordsLifelogging Image indexing Content-based retrieval Event segmentation Media production Interaction design
Unable to display preview. Download preview PDF.
- 1.Boreczky, J., Girgensohn, A., Golovchinsky, G., Uchihashi, S.: An interactive comic book presentation for exploring video. In: CHI ’00: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM Press, The Hague, The Netherlands, pp. 185–192 (2000)Google Scholar
- 2.Doherty, A.R., Smeaton, A.F., Lee, K., Ellis, D.P.: Multimodal segmentation of lifelog data. In: RIAO 2007—Large-Scale Semantic Access to Content (text, image, video and sound) (2007)Google Scholar
- 3.Hearst, M., Plaunt, C.: Subtopic structuring for full-length document access. In: SIGIR—The 16th Annual ACM-SIGIR Conference on Research and Development in Information Retrieval (1993)Google Scholar
- 4.Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler A., Smyth, G., Kapur, N., Wood, K.: SenseCam: a retrospective memory aid. In: UbiComp 8th International Conference on Ubiquitous Computing (2006)Google Scholar
- 6.Shneiderman B., Plaisant C.: Designing the User Interface: Strategies for Effective Human-Computer Interaction, 4th edn. Pearson Addison-Wesley, Reading (2004)Google Scholar