Title :
A multi-resolution video segmentation scheme for wipe transition identification
Author :
Yu, Hong-heather ; Wolf, Wayne
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
This paper presents a new methodology for wipe transition identification. Shot transition detection is an important technique for making videos easier to handle. Due to the wide variety, wipe transition appears to be the most difficult one to be detected among all types of shot transitions. We propose an approach that takes advantage of the production aspect of video. Each video frame is first decomposed into low-resolution and high-resolution components which are analyzed respectively and further recombined together to form a wipe transition detector. In our system, wavelet transformation is used for multi-resolution decomposition
Keywords :
image resolution; image segmentation; image sequences; transforms; video signal processing; wavelet transforms; high-resolution component; low-resolution component; multi-resolution decomposition; multi-resolution video segmentation scheme; production aspect; shot transition detection; wavelet transformation; wipe transition detector; wipe transition identification; Cameras; Data analysis; Databases; Detectors; Gunshot detection systems; Heat engines; Layout; Motion pictures; Resistance heating; Video sequences;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.678148