Extraction of Film Takes for Cinematic Analysis

Authors:
Ba Tu Truong;Svetha Venkatesh;Chitra Dorai
Affiliations:
Department of Computing Science, Curtin University of Technology, Perth, Western Australia 6845;Department of Computing Science, Curtin University of Technology, Perth, Western Australia 6845;Watson Research Center, IBM T.J., Yorktown Heights, USA 10598
Venue:
Multimedia Tools and Applications
Year:
2005

Citing 14
Cited 3

Segmentation of video by clustering and graph analysis

Computer Vision and Image Understanding
Dynamic video summarization and visualization

MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Spatial Color Indexing and Applications

International Journal of Computer Vision
New enhancements to cut, fade, and dissolve detection processes in video segmentation

MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Video keyframe production by efficient clustering of compressed chromaticity signatures (poster session)

MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Video summarisation based on the psychological content in the track structure

MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
On clustering and retrieval of video shots

MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Time-Constrained Keyframe Selection Technique

Multimedia Tools and Applications
Application of computational media aesthetics methodology to extracting color semantics in film

Proceedings of the tenth ACM international conference on Multimedia
Constructing table-of-content for videos

Multimedia Systems - Special section on video libraries
Discovering Semantics from Visualizations of Film Takes

MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Toward automatic extraction of expressive elements from motion pictures: tempo

IEEE Transactions on Multimedia
Automatic soccer video analysis and summarization

IEEE Transactions on Image Processing
Scene extraction in motion pictures

IEEE Transactions on Circuits and Systems for Video Technology

Learning rich semantics from news video archives by style analysis

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Linking identities and viewpoints in home movies based on robust feature matching

MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Camera take reconstruction

MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we focus on the `reverse editing' problem in movie analysis, i.e., the extraction of film takes, original camera shots that a film editor extracts and arranges to produce a finished scene. The ability to disassemble final scenes and shots into takes is essential for nonlinear browsing, content annotation and the extraction of higher order cinematic constructs from film. A two-part framework for take extraction is proposed. The first part focuses on the filtering out action-driven scenes for which take extraction is not useful. The second part focuses on extracting film takes using agglomerative hierarchical clustering methods along with different similarity metrics and group distances and demonstrates our findings with 10 movies.