Automatic video abstraction via the progress of story

Authors:
Songhao Zhu;Zhiwei Liang;Yuncai Liu
Affiliations:
Nanjing University of Post and Telecommunications, Nanjing, P.R. China;Nanjing University of Post and Telecommunications, Nanjing, P.R. China;Shanghai Jiao Tong University, Shanghai, P.R. China
Venue:
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Year:
2010

Citing 6
Cited 0

A user attention model for video summarization

Proceedings of the tenth ACM international conference on Multimedia
Statistical Learning of Multi-view Face Detection

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Video Snapshot: A Bird View of Video Sequence

MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Dynamic video summarization using two-level redundancy detection

Multimedia Tools and Applications
Computable scenes and structures in films

IEEE Transactions on Multimedia
Video visualization for compact presentation and fast browsing of pictorial content

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, an automatic video abstraction scheme on continuously recorded video, such as a movie video, is proposed. Conventional methods deal with the issue of video abstraction from the level of scene, while the proposed method attempts to comprehend video contents from the progress of the overall story and viewers' semantic understanding. The generated dynamic abstraction not only provides a bird view of the original video but also helps a viewer understand the progress of the overall story. Furthermore, different types of video abstraction can be appropriately generated with respect to different user-defined duration length. Experimental results show that the proposed scheme is a feasible solution for the effective management of video repository and online review services.