A Hierarchical Multiresolution Video Shot Transition Detection Scheme

The problem of digital video segmentation occurs in many different applications. It is the first step toward automatic video indexing, automatic video editing, perceptual coding, etc. We developed a hierarchical multiresolution shot transition detection scheme which takes advantage of the production aspect of video for high precision shot transition detection. New features are proposed to capture the changing statistics of different kinds of shot transitions so as to identify, not only abrupt shot transitions, but also gradual transitions accordingly. Identifying complex transitions?dissolves and wipes?is important due to their use as visual cues to story structure in narrative film. In this paper, a two-pass algorithm, collection and verification, is proposed to study dissolve and wipe transition detection problems, the most difficult shot transition detection problems. Wavelet transformation is utilized for image multiresolution decomposition. Experiment results show that our methodology has much higher precision compared to conventional algorithms.

[1]  Amara Lynn Graps,et al.  An introduction to wavelets , 1995 .

[2]  Stephen W. Smoliar,et al.  Content based video indexing and retrieval , 1994, IEEE MultiMedia.

[3]  Akio Nagasaka,et al.  Automatic Video Indexing and Full-Video Search for Object Appearances , 1991, VDB.

[4]  Yoshinobu Tonomura,et al.  Stored video handling techniques , 1993 .

[5]  Shih-Fu Chang,et al.  Tools for compressed-domain video indexing and editing , 1996, Electronic Imaging.

[6]  Ramesh C. Jain,et al.  Dynamic vision , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[7]  Hideo Hashimoto,et al.  Video indexing using motion vectors , 1992, Other Conferences.

[8]  Shih-Fu Chang,et al.  Scene change detection in an MPEG-compressed video sequence , 1995, Electronic Imaging.

[9]  Nilesh V. Patel,et al.  Video shot detection and characterization for video databases , 1997, Pattern Recognit..

[10]  Shih-Fu Chang,et al.  CVEPS - a compressed video editing and parsing system , 1997, MULTIMEDIA '96.

[11]  Wayne H. Wolf,et al.  Key frame selection by motion analysis , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[12]  Hong Heather Yu,et al.  Multiresolution video segmentation using wavelet transformation , 1997, Electronic Imaging.

[13]  Hong Heather Yu,et al.  A multi-resolution video segmentation scheme for wipe transition identification , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[14]  Boon-Lock Yeo,et al.  Video browsing using clustering and scene transitions on compressed sequences , 1995, Electronic Imaging.

[15]  D. A. Cook A History of Narrative Film , 1980 .

[16]  Ramin Zabih,et al.  A feature-based algorithm for detecting and classifying scene breaks , 1995, MULTIMEDIA '95.

[17]  Boon-Lock Yeo,et al.  Rapid scene analysis on compressed video , 1995, IEEE Trans. Circuits Syst. Video Technol..

[18]  Arding Hsu,et al.  Feature management for large video databases , 1993, Electronic Imaging.

[19]  Ramesh C. Jain,et al.  Digital video segmentation , 1994, MULTIMEDIA '94.

[20]  Behzad Shahraray,et al.  Scene change detection and content-based sampling of video sequences , 1995, Electronic Imaging.

[21]  Edward J. Delp,et al.  A fast algorithm for video parsing using MPEG compressed sequences , 1995, Proceedings., International Conference on Image Processing.

[22]  Joseph M. Francos,et al.  7 Orthogonal decompositions of 2D random fields and their applications for 2D spectral estimation , 1993, Signal Processing and its Applications.

[23]  David Salesin,et al.  Wavelets for computer graphics: theory and applications , 1996 .

[24]  Wayne H. Wolf,et al.  Hidden Markov model parsing of video programs , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[25]  Arding Hsu,et al.  Image processing on compressed data for large video databases , 1993, MULTIMEDIA '93.

[26]  John S. Boreczky,et al.  Comparison of video shot boundary detection techniques , 1996, J. Electronic Imaging.

[27]  Edward J. Delp,et al.  Video scene change detection using the generalized sequence trace , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[28]  David Salesin,et al.  Wavelets for computer graphics: a primer. 2 , 1995, IEEE Computer Graphics and Applications.