Rapid Estimation of Camera Motion from Compressed Video with Application to Video Annotation (1998)
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| Venue: | IEEE Trans. on Circuits and Systems for Video Technology |
| Citations: | 41 - 1 self |
BibTeX
@ARTICLE{Tan98rapidestimation,
author = {Yap-peng Tan and Drew D. Saur and Sanjeev R. Kulkarni and Peter J. Ramadge},
title = {Rapid Estimation of Camera Motion from Compressed Video with Application to Video Annotation},
journal = {IEEE Trans. on Circuits and Systems for Video Technology},
year = {1998},
volume = {10},
pages = {133--146}
}
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Abstract
As digital video becomes more pervasive, e#cient ways of searching and annotating video according to content will be increasingly important. Such tasks arise, for example, in the management of digital video libraries for content-based retrieval and browsing. In this paper, we develop tools based on camera motion for analyzing and annotating a class of structured video using the low-level information available directly from MPEG compressed video. In particular, we show that in certain structured settings it is possible to obtain reliable estimates of camera motion by directly processing data easily obtained from the MPEG format. Working directly with the compressed video greatly reduces the processing time and enhances storage e#ciency.
