Call for Papers

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.

DOWNLOAD ICCVIA’ 2014 CFP (Updated)

Call for Papers www.iccvia.org

Venue: Al Hamra Convention Center, Ras Al Khaimah, UAE.

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 including, but not limited to:

  • 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

Submission instructions are available at: http://www.iccvia.org/submission/

Reviewing Process: Each submitted paper will be blindly reviewed by at least two members of an international technical program committee with appropriate expertise.