Abstracting home video automatically
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Dublin City University at the TRECVid 2008 BBC rushes summarisation task
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Modeling and Mining of Users' Capture Intention for Home Videos
IEEE Transactions on Multimedia
Introducing risplayer: real-time interactive generation of personalized video summaries
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
A user-centric system for home movie summarisation
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Interactive and real-time generation of home video summaries on mobile devices
IMMPD '11 Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices
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We present an interactive and multi-level abstraction framework for user-generated video (UGV) summarisation, allowing a user the flexibility to select a summarisation criterion out of a number of methods provided by the system. First, a given raw video is segmented into shots, and each shot is further decomposed into sub-shots in line with the change in dominant camera motion. Secondly, principal component analysis (PCA) is applied to the colour representation of the collection of sub-shots, and a content map is created using the first few components. Each sub-shot is represented with a "footprint" on the content map, which reveals its content significance (coverage) and the most dynamic segment. The final stage of abstraction is devised in a user-assisted manner whereby a user is able to specify a desired summary length, with options to interactively perform abstraction at different granularity of visual comprehension. The results obtained show the potential benefit in significantly alleviating the burden of laborious user intervention associated with conventional video editing/browsing.