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
Understanding near-duplicate videos: a user-centric approach
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Looking at near-duplicate videos from a human-centric perspective
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Users' (Dis)satisfaction with the personalTV application: Combining objective and subjective data
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
VlogSense: Conversational behavior and social attention in YouTube
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Multimedia Tools and Applications
Socially-aware multimedia authoring: Past, present, and future
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
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One essential reason for people to publish on the web is to express themselves freely. YouTube facilitates this self-expression by allowing users to upload video content they generated. This paper investigates to what extent the videos on YouTube are self-generated content, instead of amalgamated content that was mainly professionally authored in the first place. Results show that most of the popular content on YouTube was professionally generated, even though a random sample shows that there is plenty of user-generated content available -- it just does not make the cut. As a result we propose that YouTube is more of a social filter, allowing anyone to share content they find interesting rather than a way for aspiring creative people to show their creative abilities to the world. The outcome is a set of requirements which describe better means for YouTube to support better authoring and presentation of video, where the core research direction is focused on the self-representation of humans in the realm of their creative possibilities on one side as well as the stimulation of new insights on existing material to stimulate new creative impulses.