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ACIVS 2013 : Advanced Concepts for Intelligent Vision Systems

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Conference Series : Advanced Concepts for Intelligent Vision Systems
 
Link: http://acivs.org/acivs2013/
 
When Oct 28, 2013 - Oct 31, 2013
Where Poznan, Poland
Submission Deadline May 25, 2013
Notification Due Jul 1, 2013
Final Version Due Jul 19, 2013
Categories    vision systems   pattern recognition   remote sensing   image compression
 

Call For Papers

ACIVS 2013 is a conference focusing on techniques for building adaptive, intelligent, safe and secure imaging systems. ACIVS 2013 consists of four days of lecture sessions, both regular (25 mns) and invited presentations, poster sessions. The proceedings of Acivs 2013 will be published by Springer Verlag in the Lecture Notes in Computer Science (pending approval) and are listed in the ISI proceedings index.

Conference topics include (but are not limited to):

Vision systems, including multi-camera systems

Image and Video Processing (linear/non-linear filtering and enhancement, restoration, segmentation, wavelets and multiresolution, Markovian techniques, color processing, modeling, analysis, interpolation and spatial transforms, motion, fractals and multifractals, structure from motion, information geometry)

Pattern Analysis (shape analysis, data and image fusion, pattern matching, neural nets, learning, grammatical techniques) and Content-Based Image Retrieval

Remote Sensing (techniques for filtering, enhancing, compressing, displaying and analyzing optical, infrared, radar, multi- and hyperspectral airborne and spaceborne images)

Still Image and Video Coding and Transmission (still image/video coding, model-based coding, synthetic/natural hybrid coding, quality metrics, image and video protection, image and video databases, image search and sorting, video indexing, multimedia applications)

System Architecture and Performance Evaluation (implementation of algorithms, GPU implementation, benchmarking, evaluation criteria, algorithmic evaluation)


Both classical research papers and application papers are welcome.

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