Authors are invited to submit full papers showing original research contributions. The work should not have been presented or published or being considered for review or publication by other conferences or journals. The page limit is 10 pages (1-column), plus 2 extra pages for a fee (TBD), including an abstract, all text, figures, tables and references.

The conference proceedings is planned to be published in the Springer Lecture Notes in Computer Science series (Springer LNCS). Authors should refer to the Author's Instructions on Springer's LNCS web site for more information on paper format and to download the style/template files. Please note that instructions on Springer's web site may refer to the "camera-ready" version of a paper. Authors can use the same instructions for their first submission, as well as for the camera-ready version upon acceptance of their papers. (Authors are not required to submit a copyright form with their first submission.)

Only electronic submission will be accepted through the conference paper submission web page (to be opened later). Please use only PDF or PostScript format for the submitted paper. If your paper is accepted you will be asked to submit the source of the camera-ready version of your paper for inclusion in the conference proceedings. Acceptable formats for the source version are LaTeX and Microsoft Word (LaTeX is preferred), using Springer's style/template files.

Topics:

[Processing & Analysis]
Enhancement
Restoration
Segmentation
Mathematical morphology
Color analysis
Texture analysis
Motion analysis
3D image analysis, 3D computer vision
Tracking, Realtime tracking
Shape representation and matching, Geometrical modeling, Digital curves
Real-time imaging
Image representation and models
Graphics, Virtual Reality
Filtering, Digital filters, Adaptive filters
Wavelets, Wedgelets, transforms
Statistical Signal Processing
Time-Frequency Analysis
Blind signal separation (BSS), Blind deconvolution
Image fusion
Spatial Data Modeling
Watermarking, Encryption, Security
Deformable models
Multi-channel image processing
Nonlinear image processing
[Coding]
Image and video coding, compression
Streaming, transmission, communication
[Indexing & Retrieval]
Image and video databases
Image and video retrieval and indexing
[Pattern Analysis & Recognition]
Feature extraction
Feature selection
Classification
Clustering
Ensembles and multi-classifiers
Hybrid methods
Syntactical methods
Object recognition
Face recognition, 3D face recognition
Character recognition
Gesture recognition
Image understanding
Machine vision, Computer vision
Statistical methods, Statistical estimation
Image Description and Recognition
Information Theory, Entropy
Sensors, Sensor Fusion
Fault detection and diagnosis
Intelligent systems, Soft Computing techniques
Neural Network architectures
Fuzzy logic, Fuzzy imag processing
Image mining
[Applications]
Biomedical imaging
Biometrics
Bioinformatics
Document Processing
Remote Sensing
Multimedia
Security Systems, Surveillance
Visual Inspection
Sports
Secret sharing
Hardware implementation, VLSI
Computer-assisted surgery
Automotive Sensors
Cheque processing
Visualization
Human-computer interaction
Embryonics
SAR Sea Ice Imagery
Other applications