Machine learning of event segmentation for news on demand
Communications of the ACM
Determining computable scenes in films and their structures using audio-visual memory models
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Video Scene Segmentation via Continuous Video Coherence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Sports video summarization using highlights and play-breaks
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
The fusion of audio-visual features and external knowledge for event detection in team sports video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Action movies segmentation and summarization based on tempo analysis
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
A geometric interpretation and analysis of R-precision
Proceedings of the 14th ACM international conference on Information and knowledge management
Highlight ranking for sports video browsing
Proceedings of the 13th annual ACM international conference on Multimedia
Scene Determination Based on Video and Audio Features
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Audio-assisted scene segmentation for story browsing
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Large scale evaluations of multimedia information retrieval: the TRECVid experience
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Dialogue sequence detection in movies
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
Automated production of TV program trailer using electronic program guide
Proceedings of the 6th ACM international conference on Image and video retrieval
RoleNet: treat a movie as a small society
Proceedings of the international workshop on Workshop on multimedia information retrieval
Detecting Violent Scenes in Movies by Auditory and Visual Cues
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
RoleNet: movie analysis from the perspective of social networks
IEEE Transactions on Multimedia - Special issue on integration of context and content
Scene pathfinder: unsupervised clustering techniques for movie scenes extraction
Multimedia Tools and Applications
IM(S)2: Interactive movie summarization system
Journal of Visual Communication and Image Representation
Multimedia Tools and Applications
Semantic based adaptive movie summarisation
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Multi-modal based violent movies detection in video sharing sites
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A naive mid-level concept-based fusion approach to violence detection in Hollywood movies
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
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Movie trailers, or previews, are an important method of advertising movies. They are extensively shown before movies in cinemas, as well as on television and increasingly, over the Internet. Making a trailer is a creative process, in which a number of shots from a movie are selected in order to entice a viewer in to paying to see the full movie. Thus, the creation of these trailers is an integral part in the promotion of a movie. Action movies in particular rely on trailers as a form of advertising as it is possible to show short, exciting portions of an action movie, which are likely to appeal to the target audience. This paper presents an approach which automatically selects shots from action movies in order to assist in the creation of trailers. A set of audiovisual features are extracted that aim to model the characteristics of shots typically present in trailers, and a support vector machine is utilised in order to select the relevant shots. The approach taken is not particularly novel but the results show that the process may be used in order to ease the trailer creation process or to facilitate the creation of variable length, or personalised trailers.