| Conference |
| Type of Publication |
| Robust Clustering-Based Video-Summarization with
Integration of Domain-Knowledge |
| Title |
|
Peter H. N. de With
|
| Authors |
| IEEE International Conference on Multimedia and
Expo, pp.
89-92, Lausanne, Switzerland, August 2002 |
| Published in |
| Clustering techniques have been widely used
in automatic video-summarization applications to group shots with
comparable content. We enhance the popular k-means clustering
algorithm to integrate user-supplied domain-knowledge into the
cluster generation step. This provides a convenient way to
exclude scenes from the summary which are a-priori known to be
irrelevant. Furthermore, we added an additional, time-constrained
clustering step preceding the scene clustering step to exclude
short ranges with transitional content. This makes the algorithm
robust to fading and wipe-effects in the input without requiring
explicit cut detection. |
| Abstract |
|
Video Summarization
Abstracting
Clustering
Domain-Knowledge
|
| Keywords |
| [PDF]
[BIB] [XML] |
| Downloads & Bib-Entries |
