CALL FOR PAPERS
Computer Vision and Image Understanding
Special Issue on Similarity Matching in Computer Vision and Multimedia
Guest Editors:
Thomas S. Huang, University of Illinois at Urbana-Champaign, USA
Michael Lew, Leiden University, The Netherlands
Nicu Sebe, University of Amsterdam, The Netherlands
Qi Tian, University of Texas at San Antonio, USA
Important dates:
Manuscript Submission: October 1, 2006 extended to November 1, 2006
Acceptance Notification: February 15, 2007 extended to March 15, 2007
Final Manuscript Due: April 15, 2007 extended to June 15, 2007
Special Issue to Publisher: June 15, 2007
Expected Publication Date: Late 2007
Call for Papers in [PDF]
NEWS:
03/15/2007
The decisions have been submitted to CVIU to notify the authors.
02/13/2007
The acceptance notification is extended to March 15, 2007.
09/29/2006
The submission deadline is extended to November 1, 2006.
09/27/2006
Updated Note Regards Paper Format
Except the format requirements
indicted in the CVIU web site, there is no page limit set by CVIU. CVIU has had
papers that were
45-50 pages single column, single spaced, 10 pt font; and papers that were 20
pages double column, double spaced, 12 pt font.
After the
manuscripts are accepted, the typesetter will take care of formatting the papers
to the standards of the journal. The elsart
files are only recommended because they include the information needed on the
title page and make it easier for the typesetter if the
article is accepted.
So, in summary, the 12-25 pages is an estimate of the average length of papers.
Please do not to worry about the formatting
beyond making the type legible and layout organized.
Submission Procedure:
Papers should be full journal length versions of the conference/workshop paper with analysis and evaluation appropriate for journal publication. Submissions should follow the guidelines set out by CVIU.
Important Note for Authors:
When
submitting papers, the authors should select the specific article type indicated
AND include a line in their cover letter as a
failsafe [example: "This manuscript is submitted to the Special Issue on
Similarity Matching in Computer Vision and Multimedia"].
All papers should be submitted via the CVIU web-site with Article Type ‘Special Issue: Similarity Matching’
Full author guides (Preparation of Manuscript, Copyright and Permissions, Author Inquiries, Submission of Manuscripts) and on-line submission links can be found from the above link.
All papers will be peer reviewed following the CVIU reviewing procedures.
Summary
Comparing two images, or an image and a model, is the fundamental operation for any retrieval systems. The similarity matching of two images can reside in the hierarchical levels from pixel-by-pixel level, feature space level, object level, and semantic level. In most systems of interest, a simple pixel-by-pixel comparison won’t do: the difference that we determine must bear some correlation with the perceptual difference of the two images or with the difference between two adequate semantics associated to the two images. Similarity matching techniques are developed mostly for recognition of objects under several conditions of the distortion while similarity measures, on the other hand, are used in applications like image databases. Matching and dissimilarity measurement are not seldom based on the same techniques, but they differ in emphasis and applications.
In recent years, there are an increasing number of papers and people in workshops like Multimedia Information Retrieval (MIR), and major conference like CVPR or CIVR addressing the similarity matching and similarity measurement issues. The role of this special issue is to fill the need of a comprehensive overview of the new approaches and advances of similarity matching under the broad perspective of computer vision. It is hoped that such a systematic and up-to-date overview of the field, including tutorials to well established or new techniques, can bring the awareness and applications of similarity matching closer to the general multimedia community.
The scope of this special issue is to cover all aspects of similarity matching in computer vision and multimedia.
Topics of interest include (but are not limited to):
· Similarity matching in content-based image retrieval
· Similarity matching in video analysis and retrieval
· Similarity matching in image registration
· Multimodal similarity matching
· Change detection, e.g., audio, video, web documents, using similarity measure
· Similarity search on the web
· Content identification, e.g., copyright violation, digital right management
· Quantitative measures and evaluation of the similarity search
· Clustering analysis and grouping
· Embedding methods for similarity search (e.g. image, DNA, documents)
· Similarity metrics and invariant analysis
· Psychovisual and human-perceptual similarity measures
Contacts
Please address all correspondences regarding this special issue to the Guest Editors Dr. Thomas S. Huang (huang@ifp.uiuc.edu), Dr. Michael Lew (mlew@liacs.nl), Dr. Nicu Sebe (nicu@science.uva.nl), and Dr. Qi Tian (qitian@cs.utsa.edu)