| Paper: | IMDSP-L9.5 | ||
| Session: | Video Segmentation and Tracking | ||
| Time: | Friday, May 19, 15:20 - 15:40 | ||
| Presentation: | Lecture | ||
| Topic: | Image and Multidimensional Signal Processing: Video Segmentation and Tracking | ||
| Title: | Temporal Video Segmentation by Graph Partitioning | ||
| Authors: | Zuzana Cernekova, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece | ||
| Abstract: | A novel temporal video segmentation method that, in addition to abrupt cuts, can detect with very high accuracy gradual transitions such as dissolves, fades and wipes is proposed. The method relies on evaluating mutual information between multiple pairs of frames within a certain temporal frame window. This way we create a graph where the frames are nodes and the measures of similarity correspond to the weights of the edges. By finding and disconnecting the weak connections between nodes we separate the graph to subgraphs ideally corresponding to the shots. Experiments on TRECVID2004 video test set containing different types of shot transitions and significant object and camera motion inside the shots prove that the method is very efficient. | ||
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