| Conference |
| Type of Publication |
| Comparison of Automatic Shot Boundary Detection
Algorithms |
| Title |
|
| Authors |
| Proc. Image and Video Processing VII
1999, 1999 |
| Published in |
| Various methods of automatic shot boundary
detection have been proposed and claimed to perform reliably.
Although the detection of edits is fundamental to any kind of
video analysis since it segments a video into its basic
components, the shots, only few comparative investigations on
early shot boundary detection algorithms have been published.
These investigations mainly concentrate on measuring the edit
detection performance, however, do not consider the algorithms?
ability to classify the types and to locate the boundaries of the
edits correctly. This paper extends these comparative
investigations. More recent algorithms designed explicitly to
detect specific complex editing operations such as fades and
dissolves are taken into account, and their ability to classify
the types and locate the boundaries of such edits are examined.
The algorithms? performance is measured in terms of hit rate,
number of false hits, and miss rate for hard cuts, fades, and
dissolves over a large and diverse set of video sequences. The
experiments show that while hard cuts and fades can be detected
reliably, dissolves are still an open research issue. The false
hit rate for dis-solves is usually unacceptably high, ranging
from 50% up to over 400%. Moreover, all algorithms seem to fail
under roughly the same conditions. |
| Abstract |
|
| Projects |
|
video content analysis
shot boundary detection
hard cut detection
fade detection
dissolve detection
|
| Keywords |
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