Video scene detection is the task of dividing a video into scenes. A scene is defined as a sequence of semantically related and temporally adjacent shots depicting a high-level concept or story1. Video scene detection is an essential pre-processing stage for many video analysis tasks.
The Open Video Scene Detection (OVSD) dataset is an open dataset for the evaluation of video scene detection algorithms. The open-source nature of the videos in the dataset makes them ideal to be used by researchers both in academia and industry.
1. Rui, Yong, Thomas S. Huang, and Sharad Mehrotra. "Constructing table-of-content for videos." Multimedia systems 7.5 (1999): 359-368.
Currently the dataset consists of 21 open-source videos.
The videos in the repository are:
La Chute d’une Plume
© "La chute d’une plume (pèse plus que ta pudeur)" - 2010, Bruno C. and Zézinho
Lord Meia
© "Lord Meia - Vorsicht Trash!" - Lord Meia Film-Produktion
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If you use this dataset, please cite the following publications:
Daniel Rotman, Dror Porat, and Gal Ashour. "Robust and Efficient Video Scene Detection Using Optimal Sequential Grouping." IEEE International Symposium on Multimedia (ISM). IEEE, 2016. (pp. 275-280).
Daniel Rotman, Dror Porat, and Gal Ashour. "Robust Video Scene Detection Using Multimodal Fusion of Optimally Grouped Features." IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), IEEE, 2017.