ICCVIA - International Conference Computer Vision and Image Analysis 2014

Ras al Khaimah, UAE, computer vision and imaging conference March 25 - 27 2014

 

 

HRH Sheikh Saud bin Saqr Qasimi

 

HRH Sheikh Saud bin Saqr Qasimi


International Conference on Computer Vision and Image Analysis applications (ICCVIA’ 2014)
March 25-27, 2014

International Conference on Computer Vision and Image Analysis applications (ICCVIA’ 2014) invites you to submit research full paper for consideration. All accepted papers will be published in printed conference books/proceedings (ISBN). The proceedings will be presented to high caliber scientific journals. ICCVIA’ 2014 is composed of a number of tracks, including: tutorials, sessions, workshops, posters, and panel discussions.

ICCVIA’ 2014 is under the kind patronage and presence of His Highness Sheikh Saud bin Saqr al Qasimi, Ruler of Ras Al Khaimah.

ICCVIA’ 2014 will be an international forum for discussions on recent advances in the fields of Computer Vision; Image Analysis; and on applications of these technologies in various fields.

An important goal of the conference is to provide a solid platform for a diverse gathering of scholars, researchers, developers, educators, and practitioners where they can discuss ideas, innovations, applications and systems. This hub of scientific activity leads to more developments and research breakthroughs. The conference makes concerted effort to reach out to participants affiliated with diverse entities (such as: universities, institutions, corporations, government agencies, and research centers/labs) from all over the world.

ICCVIA’ 2014 is scheduled to include high-quality paper presentation sessions revealing the latest research findings, and to engage participants in interesting discussion sessions. Novel paper submissions to be presented or posted (as a poster paper) in ICCVIA’2014 with topics broadly including:

* Image formation and preprocessing
* Image and video analysis
* Image and video understanding
* Industrial Applications and services for Image Processing
* Motion, tracking and stereo vision
* Human-Computer Interaction
* Intelligent Environments
* Multimedia
* Intelligent Robots
* Image Processing and Computer Vision
* Machine Learning and Pattern Recognition
* Industrial Applications for Computer Vision

The International Conference on Computer Vision and Image Analysis applications (ICCVIA 2014) invites you to submit a research paper for consideration. All accepted papers will be published in printed conference books/proceedings (ISBN). The proceedings will be presented to high caliber scientific journals. ICCVIA 2014 is composed of a number of tracks, including tutorials, sessions, workshops, posters, and panel discussions.
We seek novel paper submissions to be presented or posted (as a poster paper) in ICCVIA 2014 with topics broadly including, but not limited to: (for detailed list click here)

 

 

ICCVIA GENERAL CHAIRS


Hassan Hamdan Al Alkim - American University of Ras al Khaimah, UAE
Rachid Sammouda - King Saud University, KSA
Mousa Mohsen - American University of Ras al Khaimah, UAE

PROGRAM CHAIRS


Noboru Niki - Tokushima University, Japan
Hossam Hassaneen - Queen's University, Canada
Mudasser Wyne - National University, USA

ORGANIZATION CHAIR


Mohamed Diab - Rafik Hariri University, Lebanon

TECHNICAL PROGRAM CHAIRS


Aziz Barbar - American University of Science and Technology, Lebanon
Elyes Bdira - American University of Ras AlKhaimah, UAE

 

 

CONFERENCE OVERVIEW

 

ICCVIA’ 2014 is dedicated to cutting edge research that addresses scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge on various Computer Vision and Image Analysis related applications and research. ICCVIA’ 2014 is scheduled to include high-quality paper presentation sessions revealing the latest research findings, and to engage participants in interesting discussion sessions. We seek novel paper submissions to be presented or posted (as a poster paper) in ICCVIA’2014 with topics broadly including, but not limited to :

1. Image formation and preprocessing
2. Image and video analysis
3. Image and video understanding
4. Industrial Applications and services for Image Processing
5. Motion, tracking and stereo vision
6. Human-Computer Interaction
7. Intelligent Environments
8. Multimedia
9. Intelligent Robots
10. Image Processing and Computer Vision
11. Machine Learning and Pattern Recognition
12. Industrial Applications for Computer Vision

Papers in the main technical program must describe high- quality, original research. Topics of interest include all aspects of computer vision and Image Analysis such as:

Annotation and visualization
Audio and music processing for multimedia
Benchmarking systems
Capture and sensor systems (embedded, multi-sensors, …)
Coding and compression techniques
Content analysis and data mining
Content protection methods
Data storage and management
Distributed multimedia
Fundamentals of human perception
Hypermedia systems
Interactive multimedia applications
Interactive television (video-on-demand, home shopping, voting, and games)
Media blending technologies
Multimedia and education
Multimedia computing
Multimedia databases and archival systems
Multimedia documents and authoring
Multimedia interface design
Multimedia processing techniques (audio, image, video, …)
Multimedia programming
Multimedia retrieval methods
Multimedia tools
Network architectures and protocols
Operating system support for multimedia systems
Real world applications and emerging technologies
Security and privacy
Server design issues for multimedia systems
Synchronization (inter-media and intra-media) technologies
User interface challenges
Video conferencing and groupware
Video surveillance and sensor networks
3D imaging
Active and robot vision
AI, machine learning, SVT with applications in imaging science
Applications including: security, medicine, robotic, GIS, remote sensing, industrial inspection, nondestructive evaluation (or NDE), …
Biometric authentication
Camera networks and vision
Case studies
Classification and clustering techniques
Cognitive and biologically inspired vision
Digital imaging for film and television
Dimensionality reduction methods in pattern recognition
Enhancement techniques
Event recognition techniques in image sequences
Face recognition, face detection, and gesture recognition
Fuzzy and neural techniques in vision
Geometric modeling and fractals
Graph theory in image processing and vision
Image compression, coding, and encryption
Image data structures and databases
Image display techniques
Image feature extraction
Image formation techniques
Image generation, acquisition, and processing
Image geometry and multi-view geometry
Image restoration
Image-based modeling and algorithms
Indexing and retrieval of images (image databases)
Interpolation techniques
Invariance in pattern recognition
Knowledge-based recognition
Machine learning technologies for vision
Mathematical morphology
Medical image processing and analysis
Mosaic, image registration and fusion methods
Motion and tracking algorithms + orientation estimation
Multimedia Systems and Applications
Multi-resolution vision techniques
Novel document image understanding techniques + OCR
Novel noise reduction algorithms
Performance analysis and evaluation (real-time vision)
Printing technologies
Scene and object modeling
Sensors and early vision
Signal and speech processing
Soft computing methods in image processing and vision
Software tools for imaging
Special-purpose machine architectures for vision
Statistical pattern recognition
Structural and syntactic pattern recognition
Symbolic learning
Watermarking methods and protection
Wavelet methods
Wavelets, data hiding, image copyright and related issues
Applied Digital Signal Processing
Coding and Transmission
Color and Texture
Computer graphics and visualization
Computer vision
Digital Signal Processing in Communications
Emerging Technologies in Digital Signal Processing
Face and Gesture
Illumination and Reflectance Modeling
Image & signal processing Applications
Image Acquisition and Display
Image and Video Processing & Analysis
Image and Video Retrieval
Image scanning, display, and printing
Image-based Modeling
Machine learning, computer graphics, biological vision
Medical Image Analysis
Object Recognition
Physics-based Modeling
Segmentation and Grouping
Sensors and Early Vision
Shape Representation
Statistical Methods and Learning
Stereo and Structure from Motion
Storage and Retrieval
Video Analysis and Event Recognition
Vision for Robots

 

 

ACCREDITATION

 

American University of Ras Al Khaimah located at RAK is officially licensed since 1 August 2009 by the Ministry of Higher Education and Scientific Research of the United Arab Emirates to award degrees in higher education.

 

American University of Ras Al Khaimah has the academic accreditation from the Commission for Academic Accreditation at the Ministry of Higher Education and Scientific Research for:

 

BS in Biotechnology

BS in Business Administration

BS in Computer Engineering

BS in Computer Science

BS in Electronics and Communications Engineering

BS in Civil and Infrastructure Engineering

BS in Mechanical Engineering

BS in Industrial Engineering

MS in Engineering Project Management

 

 

 

CONTACTS

 

American University of Ras al Khaimah (AURAK)

PO Box 10021, Ras Al Khaimah, UAE


Tel:  +971 7 2210 900
Fax: +971 7 2210 300

 

Visit: www.iccvia.org

Email: info@aurak.ae

 

 

 

LINKS

 

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SPOT - Satellite global tracking system

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Bluefish ZCC zero emission vessel ZEV concept

 

The Bluefish ZCC concept is aimed at producing enabling technology for Zero Carbon Cruisers (ZCCs) of the future. ZCC theory is based on a lightweight SWASH hull design that is extremely stable, upon which it is hoped to develop this concept in the UK and in Europe via collaborative research with academia and industry.

 

The theory is that such a vessel need not use diesel fuel to traverse the oceans at relatively high speed 24/7 and 365 days a year if required. The enabling dual-axis harvesting technology as applied to a SWASH hull is yet to be tried in any form to be able to proceed to a feasibility study and from there to industrial research. Collaborative research will be essential at almost every stage before a prototype might finally hit the oceans.

 

Broad estimations suggest that a vessel of this design will pay for itself in fuel saved every ten years. The bigger the vessel, the more fuel is saved. With rising bunker prices the economics of operation are favorable, apart from green politics now playing an active role.

 

The Bluefish zero emission vehicle (ZEV) concept will rely on computer vision and other robotic functions to be able to operate at great efficiency in harsh blue water ocean environments.

 

 

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