Improved fade and dissolve detection for reliable video segmentation
Truong, Ba Tu, Dorai, Chitra and Venkatesh, Svetha 2000, Improved fade and dissolve detection for reliable video segmentation, in ICIP 2000 : Proceedings of the IEEE International Conference on Image Processing, IEEE, Washington, D. C., pp. 961-964, doi: 10.1109/ICIP.2000.899617.
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 introduce 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 accurately 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 existence 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.
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Field of Research
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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