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’improved fade and dissolve detection for reliable video segmentation.
| Content Provider | CiteSeerX |
|---|---|
| Author | Truongt, Ba Tu Dorai, Chitra Venkatesht, Svetha |
| Abstract | We present improved algorithms for automatic fade and dissolve detection in digital video analysis. We devise new two-step algorithms for fade and dissolve detection and in-troduce a method for eliminating false positives from a list of detected candidate transitions. In our detailed study of these gradual shot transitions, our objective has been to ac-curately classify the type of transitions (fade-in, fade-out, and dissolve) and to precisely locate the boundary of the transitions. This distinguishes our work from early work in scene change detection which focuses on identifying the ex-istence of a transition rather than its precise temporal extent. We evaluate our algorithms against two other commonly used methods on a comprehensive data set, and demonstrate the improved performance due to our enhancements. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Early Work False Positive Detailed Study Digital Video Analysis Gradual Shot Transition Comprehensive Data Set Detected Candidate Transition Improved Algorithm Automatic Fade Improved Performance New Two-step Algorithm Precise Temporal Extent Scene Change Detection |
| Content Type | Text |
