Video segmentation is the basis for many applications: object tracking, object recognition, 3D reconstruction, robot navigation, activity recognition, and video retrieval. Despite many available video segmentation methods, the use of video segmentation as an early processing step in video analysis lags behind the use of image segmentation for image analysis. Most approaches are based on extending single image segmentation techniques to multiple frames, exploiting the fact that there is redundancy along the time axis and that the motion field is smooth. While this can be attempted by analyzing individual image frames independently, video provides rich additional cues beyond a single image. These cues include object motion, temporal continuity, and long-range temporal object interactions, etc. The purpose of this workshop is to bring together an examination of recent advances in video segmentation with emerging problem formulations motivated by Computer Vision applications.
The workshop will consist of a combination of invited talks, oral presentations, and panel discussion. Submissions are invited from all areas of computer vision relevant for video segmentation. Topics of interest include, but are not limited to:
- Video segmentation
- Hierarchical segmentation
- Superpixel segmentation
- Motion segmentation
- Video cosegmentation
- MRF for video segmentation
- Semantic labeling in video segmentation
- Evaluation metrics
- Applications of video segmentation
All manuscripts will be subject to a double-blind review process. In the proceedings, accepted papers will be allocated 14 pages plus references.