News
Oct 2nd:
Some slides from the workshop are available, click the respective links to download them.
Aug 12th:
The Program is available.
Jun 23rd:
The submission site is now open.
Website launched!
Organizers
Speakers
Panelists
Michael BlackMax Planck Institute for Intelligent Systems
Vittorio Ferrari
University of Edinburgh
Cristian Sminchisescu
Lund University
René Vidal
John Hopkins University
Jue Wang
Adobe Systems Inc.
Irfan Essa/Matthias Grundmann
Georgia Institute of Technology/Google Research
Program
Irfan Essa (Georgia Institute of Technology/Google Research)
Alon Faktor, Michal Irani (Weizmann Institute of Science)
Cristian Sminchisescu (Lund University)
Jue Wang (Adobe Systems)
J. Chang, D. Wei, and J. W. Fisher (Massachussetts Institute of Technology);
Katerina Fragkiadaki (University of California, Berkeley) and Jianbo Shi (University of Pennsylvannia)
Michael Maire (California Institute of Technology/TTI Chicago) and Stella X. Yu (University of California, Berkeley)
Vittorio Ferrari (University of Edinburgh)
M. Reso, J. Jachalsky, R. Rosenhahn, J. Ostermann (Leibniz Universität Hannover)
M. Van Den Bergh, G. Roig, X. Boix, S. Manen, and L. V. Gool (ETH Zürich)
E. Taralova, F. de la Torre, M. Hebert (Carnegie Mellon University)
René Vidal (Johns Hopkins University)
Important Dates
Submission
Authors should use the ECCV style files to prepare your submission. We welcome submissions for:
Regular papers: not more than 10 pages plus references. Regular papers will be lightly reviewed by the workshop organizers and should include the author names (single-blind review) as accepted papers will be directly sent to Springer to be included on the USB stick for ECCV.
For regular papers, there will be two options:
(1) The papers can be part of the post-conference proceedings with Springer. It will be possible to correct and extend the paper after the workshop. Papers will count as a full publication and cannot be submitted to a later venue anymore.
(2) Authors can decide before the post-conference proceedings deadline not to include their paper in the official proceedings. Such papers remain unpublished work and can be submitted to other venues.
Extended abstracts: not more than 2 pages. Extended abstracts may contain papers that have been previously accepted and/or presented at other venues. They will not be part of the proceedings but will be presented as posters if accepted.
All submissions will be handled by the Microsoft CMT system.
Click here to go to the submission website
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 video segmentation and the well-studied problem of image 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 the best practices and tools 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 consists of a combination of invited talks, poster presentations of submitted works and panel discussions. Paper submissions should include author names and affiliations, and will be subject to single-blind review by the organizers, 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 post-proceedings (camera-ready papers submitted after the workshop) 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
This workshop has been supported in part by NSF grant IIS 1320348. And we appreciate the support from the BMW company.
Website contact: Fuxin Li