Call for Papers (The impact factor of the Neurocomputing is 1.44)
Neurocomputing Special Issue on Image Feature Detection and Description
Manuscript submission: 8 December 2011
http://vpa.tju.edu.cn/engCall4Paper.htm
Image feature detection and description are the basis of image and video analysis. Robust and efficient image features can significantly improve the performance of image/video retrieval, recognition, tracking, biometrics, matching, registration, reconstruction, etc. Image features can be local, dense, dense local, semi-local and global. In many cases, image features are expected to be stable, repeatable, illumination invariant, discriminative, representative, and even have semantic senses. In addition, the computation efficiency is also an important factor for image feature extraction and description. In recent years, many powerful image features are developed such as SIFT, SURF, HOG, LBP, GLOH, Daisy, GIST (Spatial Envelope), RCM (Region Covariance Matrix). Although much fruits have been achieved in image feature detection and description, there is large space to improve the performance.
The aim of this special issue is to bring together the state-of-the research results on image feature detection and description and its applications. Topics of interest include, but are not limited to:
- Criterion for image feature detection and description
- Fast algorithm for image feature detection and description
- Learning-based feature extraction
- Local vs. global image features
- Dense vs. sparse image features
- Multi-scale image features
- Image feature selection, weighing, and combination
- Performance evaluation of different image features
- Application of image features for image and video analysis

Important Dates:
Manuscript submission: 8 December 2011
Preliminary results: 1 March 2012
Revised version: 1 April 2012
Notification: 1 June 2012
Final manuscripts due: 1 July 2012
Anticipated publication: Autumn 2012

Submission Procedure:
This special issue plans to accept about 30-40 papers. Prospective authors should follow the Guide for Authors available at http://ees.elsevier.com/neucom/ and submit their regular full-length papers through the above-mentioned website. Please ensure to select “Special Issue: Image Feature Detection” as the “Article Type”. All the papers will be peer reviewed following the NEURCOMPUTING reviewing procedures.

Guest editors:
Yanwei Pang, Tianjin University, China. (pyw@tju.edu.cn)
Xianbin Cao, Beihang University, China. (xbcao@buaa.edu.cn)
Lei Zhang, Microsoft Research Asia, China. (leizhang@microsoft.com)
Amir Hussain, University of Stirling, Scotland, UK. (ahu@cs.stir.ac.uk)