Community annotation and remix: a research platform and pilot deployment
Proceedings of the 1st ACM international workshop on Human-centered multimedia
SMIL 3.0: Flexible Multimedia for Web, Mobile Devices and Daisy Talking Books
SMIL 3.0: Flexible Multimedia for Web, Mobile Devices and Daisy Talking Books
Less talk, more rock: automated organization of community-contributed collections of concert videos
Proceedings of the 18th international conference on World wide web
Video transcoding to support random access in scalable video coding
WSEAS Transactions on Signal Processing
Automatic mashup generation from multiple-camera concert recordings
Proceedings of the international conference on Multimedia
vESP: enriching enterprise document search results with aligned video summarization
Proceedings of the international conference on Multimedia
Adaptive encoding of zoomable video streams based on user access pattern
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Beyond the playlist: seamless playback of structured video clips
IEEE Transactions on Consumer Electronics
Just-in-time personalized video presentations
Proceedings of the 2012 ACM symposium on Document engineering
ProPane: fast and precise video browsing on mobile phones
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
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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In typical video mash-up systems, a group of source videos are compiled off-line into a single composite object. This improves rendering performance, but limits the possibilities for dynamic composition of personalized content. This paper discusses systems and network issues for enabling client-side dynamic composition of video mash-ups. In particular, this paper describes a novel algorithm to support accurate, low-delay seamless composition of independent clips. We report on an intelligent application-steered scheme that allows system layers to prefetch and discard predicted frames before the rendering moment of indexed content. This approach unifies application-level quality-of-experience specification with system layer quality-of-service processing. To evaluate our scheme, several experiments are conducted and substantial performance improvements are observed in terms of accuracy and low delay.