EVA: an experimental video annotator for symbolic analysis of video data
ACM SIGCHI Bulletin
Effects of head-mounted and scene-oriented video systems on remote collaboration on physical tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Simplifying video editing using metadata
DIS '02 Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques
Active capture: automatic direction for automatic movies
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Presiding over accidents: system direction of human action
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DocWizards: a system for authoring follow-me documentation wizards
Proceedings of the 18th annual ACM symposium on User interface software and technology
Situated event bootstrapping and capture guidance for automated home movie authoring
Proceedings of the 13th annual ACM international conference on Multimedia
Videotater: an approach for pen-based digital video segmentation and tagging
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Dynamic shared visual spaces: experimenting with automatic camera control in a remote repair task
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning how: the search for craft knowledge on the internet
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Generating photo manipulation tutorials by demonstration
ACM SIGGRAPH 2009 papers
COMPSAC '09 Proceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 02
Video tapestries with continuous temporal zoom
ACM SIGGRAPH 2010 papers
Chronicle: capture, exploration, and playback of document workflow histories
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
NudgeCam: toward targeted, higher quality media capture
Proceedings of the international conference on Multimedia
ACM Transactions on Graphics (TOG)
Pause-and-play: automatically linking screencast video tutorials with applications
Proceedings of the 24th annual ACM symposium on User interface software and technology
Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair
IEEE Transactions on Visualization and Computer Graphics
Selectively de-animating video
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Tools for placing cuts and transitions in interview video
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
TeleAdvisor: a versatile augmented reality tool for remote assistance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A speech/music discriminator based on RMS and zero-crossings
IEEE Transactions on Multimedia
MixT: automatic generation of step-by-step mixed media tutorials
Proceedings of the 25th annual ACM symposium on User interface software and technology
Cliplets: juxtaposing still and dynamic imagery
Proceedings of the 25th annual ACM symposium on User interface software and technology
DuploTrack: a real-time system for authoring and guiding duplo block assembly
Proceedings of the 25th annual ACM symposium on User interface software and technology
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Amateur instructional videos often show a single uninterrupted take of a recorded demonstration without any edits. While easy to produce, such videos are often too long as they include unnecessary or repetitive actions as well as mistakes. We introduce DemoCut, a semi-automatic video editing system that improves the quality of amateur instructional videos for physical tasks. DemoCut asks users to mark key moments in a recorded demonstration using a set of marker types derived from our formative study. Based on these markers, the system uses audio and video analysis to automatically organize the video into meaningful segments and apply appropriate video editing effects. To understand the effectiveness of DemoCut, we report a technical evaluation of seven video tutorials created with DemoCut. In a separate user evaluation, all eight participants successfully created a complete tutorial with a variety of video editing effects using our system.