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WCCI - Special Session 2014 : Fuzzy Set Theory in Computer Vision


When Jul 6, 2014 - Jul 11, 2014
Where Beijing, China
Submission Deadline Dec 20, 2013
Notification Due Mar 15, 2014
Final Version Due Apr 15, 2014

Call For Papers

Brief Description:

Fuzzy set theory is the subject of intense investigation in fields like control theory, robotics, biomedical engineering, computing with words, knowledge discovery, remote sensing and socioeconomics. However, in the area of computer vision, other fields, e.g., machine learning, and communities, e.g., PAMI, ICCV, CVPR, ECCV, NIPS, are arguably the state-of-the-art. In particular, the vast majority of top performing techniques on public datasets are steeped in probability theory. Important questions to the fuzzy set community include the following. What is the role of fuzzy set theory in computer vision? Does fuzzy set theory make the biggest impact in terms of low-, mid- or high-level computer vision? Furthermore, do current performance measures favor machine learning approaches? Is there additional benefit that fuzzy set theory brings, and if so, how is it measured?

Objectives and Topics:

This special session invites new research in fuzzy set theory in computer vision. It is a follow up to the 2013 FUZZ-IEEE workshop View of Computer Vision Research and Challenges for the Fuzzy Set Community. In particular, we encourage authors to investigate their research using public datasets and to compare their results to both fuzzy and non-fuzzy methods. Topics of interest include all areas in computer vision and image/video understanding. Example topics include, but are not limited to, the following:

- Detection and recognition
- Categorization, classification, indexing and matching
- 3D-based computer vision
- Advanced image features and descriptors
- Motion analysis and tracking
- Linguistic description and summarization
- Video: events, activities and surveillance
- Intelligent change detection
- Face and gesture
- Low-level, mid-level and high-level computer vision
- Data fusion for computer vision
- Medical and biological image analysis
- Vision for Robotics

Submission Guideline:

- The submitted papers must be written in English and describe original research which is not published nor currently under review by other journals or conferences. Author guidelines for preparation of manuscript can be found at All manuscripts should be submitted through the paper submission website only. The authors must select "FZ13 - Fuzzy Set Theory in Computer Vision" in the Main research topic* during the submission process. The submission website is located at

Important Dates:

Deadline for Paper Submission: 20 December 2013
Notification of Acceptance/Rejection: 15 March 2014
Deadline for Final Paper Submission: 15 April 2014
Conference Dates: 6-11 July 2014

Organizers and Contact Information:

1. Chee Seng Chan, University of Malaya, Malaysia
2. James Keller, University of Missouri, USA
3. Derek T Anderson, Mississippi State University, USA
4. Tony Xu Han, University of Missouri, USA

Related Resources

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CAIP 2019   Computer Analysis of Images and Patterns
WCCI 2018   World Congress on Computational Intelligence
IROS 2019   Intelligent RObots and Systems
ISAIR 2019   The 4th International Symposium on Artificial Intelligence and Robotics 2019
SSCI 2019   The 2019 IEEE Symposium Series on Computational Intelligence
ICCMIT 2019   Special Session on Advances in Data Science Theory and Interdisciplinary Applications - 5th International Conference on Communication, Management and Information Technology
CRV 2019   Computer and Robot Vision
ICIP 2019   International Conference on Image Processing
BMVC 2019   British Machine Vision Conference