| Conference |
| Type of Publication |
| Automatic Generation of Summaries for the Web |
| Title |
|
|
| Authors |
| Proceedings of SPIE, Storage and Retrieval for Media
Databases, pp.
417--428, San José, CA, January 2004 |
| Published in |
| Many TV broadcasters and film archives are
planning to make their collections available on the Web. However,
a major problem with large film archives is the fact that it is
difficult to search the content visually. A video summary is a
sequence of video clips extracted from a longer video. Much
shorter than the original, the summary preserves its essential
messages. Hence, video summaries may speed up the search
significantly. Videos that have full horizontal and vertical
resolution will usually not be accepted on the Web, since the
bandwidth required to transfer the video is generally very high.
If the resolution of a video is reduced in an intelligent way,
its content can still be understood. We introduce a new algorithm
that reduces the resolution while preserving as much of the
semantics as possible. In the MoCA (movie content analysis)
project at the University of Mannheim we developed the video
summarization component and tested it on a large collection of
films. In this paper we discuss the particular challenges which
the reduction of the video length poses, and report empirical
results from the use of our summarization tool. |
| Abstract |
|
video summarization
region-of-interest
skimming
video content analysis
|
| Keywords |
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