Tuesday, 12 November 2013

Call for papers: WCCI 2014 Special Session "Fuzzy Set Theory in Computer Vision"

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?

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

Interested authors intended to contribute to this special sessions are kindly recommended to follow the manuscript style information and templates of regular IEEE WCCI 2014 papers, as described in here. When submitting the manuscripts, authors are recommended to follow these steps:
1.    Select this Special Session name (FZ 13 – Fuzzy Set Theory in Computer Vision) in the Main Research topic dropdown list;
2.    Fill out the input fields, upload the pdf file and finalize the submission by December 20, 2013.


Chee Seng Chan (Uni. of Malaya)                   
James Keller  (Uni. of Missouri)
Derek T Anderson (Mississippi State Uni.)      
Tony Xu Han (Uni. of Missouri)

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