Paper
17 April 1995 Temporal segmentation of videos: a new approach
Mourad Cherfaoui, Christian Bertin
Author Affiliations +
Proceedings Volume 2419, Digital Video Compression: Algorithms and Technologies 1995; (1995) https://doi.org/10.1117/12.206380
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
Several works have been carried out to achieve automatic video segmentation into meaningful parts. Video shots usually correspond to these meaningful parts. Many techniques have already been proposed1'2'3'4'5. Currently, finer segmentation ofvideos based on camera movements is sought. Figure 1 shows a video segmented as usual and in a finer way. Cameraoperation based segmentation allows us to better describe video contents for video-database applications5. It also allows to achieve semantic coding for very low bitrate video compression. In this paper, we propose a method that achieves automatic video segmentation based on camera movements. In section 2, we define a camera operations model. Using this model, we present in section 3 our video segmentation method. Experimental results are presented in section 4. Finally, we make a quick comparison of our method with the one presented in 6.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mourad Cherfaoui and Christian Bertin "Temporal segmentation of videos: a new approach", Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); https://doi.org/10.1117/12.206380
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Cited by 10 scholarly publications.
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KEYWORDS
Cameras

Video

Video compression

Zoom lenses

Image segmentation

Visualization

Motion models

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