[visionlist] CFP: CVIU special issue on Image and Video Retrieval Evaluation

[Henning Müller]

CALL FOR PAPERS

Computer Vision and Image Understanding
Special Issue on Image and Video Retrieval Evaluation

Guest Editors:
Allan Hanbury, Vienna University of Technology, Austria
Henning Müller, University and Hospitals of Geneva, Switzerland
Paul Clough, The University of Sheffield, UK

Important Dates:
     Manuscript submission:        31 March 2008
     Acceptance Notification:      1 September 2008
     Final Manuscript Due:         1 November 2008
     Special Issue to Publisher:   15 January 2009
     Expected Publication Date:    Mid 2009

Summary:

Visual information is ubiquitous and the amount produced with cheap
digital cameras is rising strongly. To better manage this information,
content-based image and video retrieval has been proposed for general
retrieval as well as in specialised domains. While many techniques have
been developed for image and video retrieval, one of the problems is that
many published approaches are very difficult to compare to each other as
varying databases, performance measures, and methodologies are used.

In order to mitigate this problem, there has been increased focus on the
evaluation of visual information retrieval systems in the last years.
Similar to the text retrieval domain many years ago, several visual
information retrieval benchmarks with a varying focus have been created
and run. This evaluation is particularly important as many visual
information retrieval techniques and systems are at the point where they
are ready to leave the academic field and become integrated into commercial
prototypes and products. This requires techniques not only to be 
interesting
as theoretical approaches but also to be comparable with respect to
performance obtained.

The role of this special issue is to fill the need for a comprehensive
overview of the current visual information retrieval evaluation activities.
This is envisioned to include evaluation campaigns as well as activities at
a lower level, such as dataset creation, innovative approaches to ground
truth collection and relevance judgements, discussion of evaluation metrics
and the planning of “realistic” queries and user models.

Scope:
The scope of this special issue is to cover all aspects of the evaluation
of visual information retrieval.

Topics of interest include (but are not limited to):
      * Evaluation campaigns
      * Evaluation techniques
      * Evaluation metrics
      * Datasets and dataset creation
      * Query topic creation
      * Ground truth collection
      * Relevance judgements
      * Evaluation of image and video features for retrieval
      * Challenges in image and video retrieval evaluation
      * User requirement modelling and user modelling
      * Evaluation of user interfaces to search engines

Submission Procedure:
Papers should be appropriate for journal publication.
Submissions should follow the guidelines set out by the CVIU.

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 Image
and Video Retrieval Evaluation"].
All papers should be submitted via the CVIU web-site with Article Type
‘Special Issue: Retrieval Evaluation’

http://ees.elsevier.com/cviu/

Full author guides (Preparation of Manuscript, Copyright and Permissions,
Author Inquiries, Submission of Manuscripts) and on-line submission links
can be found at the above link.

All papers will be peer reviewed following the CVIU reviewing procedures.

Contacts:
Please address all correspondence concerning this special issue to the
Guest Editors:
Allan Hanbury (hanbury at prip.tuwien.ac.at),
Henning Müller (henning.mueller at sim.hcuge.ch),
Paul Clough (p.d.clough at sheffield.ac.uk)