News
Website launched!
Organizers
Speakers
Panelists
Jitendra MalikMichael Black
Vittorio Ferrari
Rahul Sukthankar
Jason Corso
René Vidal
TBD
Call for papers
Interest in the video segmentation problem has grown dramatically in recent years, resulting in a significant recent body of work along with advances in both methods and datasets. It is time to take stock of the video segmentation problem and chart the future course of work in this field.
The goal of this workshop is to bring together a broad and representative group of video segmentation researchers for a lively and impactful discussion on a wide range of topics: What is the difference between the well-studied image segmentation and video segmentation? What are the commonalities and differences among the many different definitions of the video segmentation problem, and what terminology should we use to distinguish them? What is the best way to measure performance and what are best practices for video annotation? What is the state of existing standard datasets and how can they be improved? How should segmentations be represented and what are the consequences for downstream processing?
The workshop will consist of a combination of invited talks, oral and poster presentations of submitted works and panel discussions. Paper submissions will be subject to review, based on the quality of the work and its relevance to the workshop topic. Authors of accepted papers will have the option to submit a full paper for inclusion in the workshop proceedings if they choose.
Topics of interest include:
- Video segmentation algorithms and their performance analysis, including novel optimization techniques
- Comparisons between image and video segmentation techniques
- Proposals of taxonomies and terminologies for video segmentation, including the discussion of annotations and metrics
- Novel datasets for performance evaluation and/or empirical analyses of existing methods
- Semantic labeling in video segmentation
- Supervised and unsupervised methods, as well as techniques for interactive segmentation
- Motion Segmentation
- Segmentation of videos with depth information, such as in RGB-D videos
- Applications of video segmentation to topics such as event recognition, activity detection, and object recognition and tracking
Website contact: Fuxin Li