Proceedings of the SIGCHI conference on Human Factors in Computing Systems
SmartSkip: consumer level browsing and skipping of digital video content
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
"Less clicking, more watching": an option for entertainment on the web?
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Video summarization based on user log enhanced link analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
An empirical investigation into user navigation of digital video using the VCR-like control set
International Journal of Human-Computer Studies
Towards optimal navigation through video content on interactive TV
Interacting with Computers
Watch what I watch: using community activity to understand content
Proceedings of the international workshop on Workshop on multimedia information retrieval
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
EmoPlayer: A media player for video clips with affective annotations
Interacting with Computers
Video interactions in online video social networks
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The Evolution of TV Systems, Content, and Users Toward Interactivity
Foundations and Trends in Human-Computer Interaction
Watching and talking: media content as social nexus
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Crowdsourcing user interactions with the video player
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Analytics on video-based learning
Proceedings of the Third International Conference on Learning Analytics and Knowledge
How do we deep-link?: leveraging user-contributed time-links for non-linear video access
Proceedings of the 21st ACM international conference on Multimedia
Open system for video learning analytics
Proceedings of the first ACM conference on Learning @ scale conference
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In this paper, we present a system that facilitates the analysis of user activity within a web video. Previous research in user-based techniques has assumed an extra effort from the users, such as video replies, comments, tags, and annotations. We have developed and evaluated the SocialSkip system, which improves sense making of web videos by visualizing the simplest form of user interactions with video, such as pause, and seek. In contrast to previous stand-alone implementations, the SocialSkip system employs a web-video player and cloud-based resources (application logic, database, content). The system was validated with two user studies, which provided several hundreds of user interactions with five types of web video (sports, comedy, lecture, documentary, how-to). We found that seeking activity within web video is reversely proportional to how interesting the video is. Moreover, we suggest that if the users are actively seeking for information within a video (e.g., lecture, how-to), then the user activity graph could be associated with the semantics of the video. Finally, SocialSkip provides an open architecture for collaborative contributions to the analysis of the user activity data, in a fashion similar to the TRECVID workshop series.