Abstract
In order to process video data efficiently, a video segmentation technique through scene change detection must be employed. Many of advanced video applications require manipulations of compressed video signals. So, the scene change detection process is achieved by analyzing the video directly in the compressed domain, thereby avoiding the overhead of decompressing video into individual frames in the pixel domain. In this paper, we propose a fast scene change detection algorithm using direct feature extraction from MPEG compressed videos, and evaluate this technique using sample video data. This process was made possible by a new mathematical formulation for deriving the edge information directly from the DCT coefficients.
| Original language | English |
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| Title of host publication | Proceedings - 15th International Conference on Pattern Recognition, ICPR 2000 - Volume 3 |
| Subtitle of host publication | Image, Speech, and Signal Processing |
| Editors | M. Vanrell, J. J. Villanueva, A. Sanfeliu, R. Alquezar, T. Huang, J. Serra |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 174-177 |
| Number of pages | 4 |
| ISBN (Electronic) | 0769507506 |
| DOIs | |
| Publication status | Published - 2000 |
| Event | 15th International Conference on Pattern Recognition, ICPR 2000 - Barcelona, Spain Duration: 2000 Sept 3 → 2000 Sept 7 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
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| Volume | 3 |
| ISSN (Print) | 1051-4651 |
Other
| Other | 15th International Conference on Pattern Recognition, ICPR 2000 |
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| Country/Territory | Spain |
| City | Barcelona |
| Period | 00/9/3 → 00/9/7 |
Bibliographical note
Funding Information:* This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea.
Publisher Copyright:
© 2000 IEEE.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition