A unified approach to gradual shot transition detection

Nowadays, content-based retrieval of video material is based on the availability of meta-data linked to it. Current approaches to automatically extract these data start from a temporal segmentation of the audio-visual material, that is, a location of the camera shot transitions. Although abrupt transition detection is a problem almost solved, success on gradual transition detection is still very low. We present a detector for all types of gradual transitions (chromatic, geometric, and mixed), based on in depth modelling of the patterns that these transitions generate on a specific frame distance. Results are presented over a representative sample of more than 250 gradual transitions, which belong to a significant part (200') of the MPEG-7 testing material, achieving a recall (percentage of effects correctly detected) and a precision (percentage of non-false positives in the set of detection) notably higher than the ones reported so far.

[1]  Warnakulasuriya Anil Chandana Fernando,et al.  Wipe scene change detection in video sequences , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[2]  Warnakulasuriya Anil Chandana Fernando,et al.  Fade and dissolve detection in uncompressed and compressed video sequences , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[3]  Wei Xiong,et al.  Efficient Scene Change Detection and Camera Motion Annotation for Video Classification , 1998, Comput. Vis. Image Underst..

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

[5]  Alan Hanjalic,et al.  Optimal shot boundary detection based on robust statistical models , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[6]  Boon-Lock Yeo,et al.  A unified approach to temporal segmentation of motion JPEG and MPEG compressed video , 1995, Proceedings of the International Conference on Multimedia Computing and Systems.

[7]  Paul England,et al.  Comparison of automatic video segmentation algorithms , 1996, Other Conferences.

[8]  Gozde Bozdagi Akar,et al.  Feature-based hierarchical video segmentation , 1997, Proceedings of International Conference on Image Processing.

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