Communications of the ACM
Totalrecall: visualization and semi-automatic annotation of very large audio-visual corpora
Proceedings of the 9th international conference on Multimodal interfaces
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Context-aware classification of continuous video from wearables
Proceedings of the 2007 conference on Designing for User eXperiences
Content vs. context for multimedia semantics: the case of sensecam image structuring
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
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We present a multi-modal video analysis framework for life-logging research. Domain-specific approaches and alternative software solutions are referenced, then we briefly outline the concept and realization of our OS X-based software for experimental research on segmentation of continuous video using sensor context. The framework facilitates visual inspection, basic data annotation, and the development of sensor fusion-based machine learning algorithms.