Automatic text structuring and summarization
Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
Abstracting home video automatically
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
A semi-automatic approach to home video editing
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
User-adaptive home video summarization using personal photo libraries
Proceedings of the 6th ACM international conference on Image and video retrieval
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
A User Experience Model for Home Video Summarization
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
An interactive and multi-level framework for summarising user generated videos
MM '09 Proceedings of the 17th ACM international conference on Multimedia
NLVS: a near-lossless video summarization system
MM '09 Proceedings of the 17th ACM international conference on Multimedia
An efficient three-step search algorithm for block motion estimation
IEEE Transactions on Multimedia
Modeling and Mining of Users' Capture Intention for Home Videos
IEEE Transactions on Multimedia
Finding structure in home videos by probabilistic hierarchical clustering
IEEE Transactions on Circuits and Systems for Video Technology
Fast Optimal Motion Estimation Based on Gradient-Based Adaptive Multilevel Successive Elimination
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper we present a user-centric summarisation system that combines automatic visual-content analysis with user-interface design features as a practical method for home movie summarisation. The proposed summarisation system is designed in such a manner that the video segmentation results generated by the automatic content analysis tools are further subject to refinement through the use of an intuitive user-interface so that the automatically created summaries can be effectively tailored to each individual's personal need. To this end, we study a number of content analysis techniques to facilitate the efficient computation of video summaries, and more specifically emphasise the need for employing an efficient and robust optical flow field computation method for sub-shot segmentation in home movies. Due to the subjectivity of video summarisation and the inherent challenges associated with automatic content analysis, we propose novel user-interface design features as a means to enable the creation of meaningful home movie summaries in a simple manner. The main features of the proposed summarisation system include the ability to automatically create summaries of different visual comprehension, interactively defining the target length of the desired summary, easy and interactive viewing of the content in terms of a storyboard, and manual refinement of the boundaries of the automatically selected video segments in the summary.