Description

The goal of the workshop is to explore recent theoretical advances and emerging practical applications of visual information processing, with particular emphasis on algorithms inspired by the human visual system. The ethos of the workshop is to encourage and facilitate constructive interactions among scientists, practitioners and developers of visual information processing technologies. The aim is not to just create another scientific gathering but a forum where all aspects of visual information processing, including the technological impact on society and environment, are explored in a friendly and supportive environment. To cover recent advances in these approaches, EUVIP 2013 tries to bring together prominent experts to exchange ideas and explore the frontiers of this multidisciplinary research field. It also provides graduate students with the opportunity to have substantive interaction with experts in the field. This fourth edition of the workshop follows up on the success achieved by the previous i.e. VISPA’2008, EUVIP’2010 and EUVIP’2011. These latter attracted prominent speakers from around the world and provided a framework for fruitful discussions on different applications of signal and image processing techniques for emerging and challenging problems. Carrying on this tradition EUVIP 2013, will offer a forum for researchers and industrials to exchange ideas and discuss the recent advances in perceptually-inspired techniques for image and video processing with application to multimedia, visual pattern recognition, surveillance, and visual information security. This event will be composed by several invited senior talks and technical papers presentations dealing with state of the art and new advances in visual information modeling, analysis, processing and communication methods.

Call for paper

Topics of submission

Topics of particular interest to EUVIP 2013 include, but are not limited to: Computational Vision Models Video Analysis Image & Video Quality Assessment Visual Tracking Image & Video Enhancement Visual Data Mining Color Image Understandin

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Contact information

  • A. Chetouani
  • aladine.chetouani@uiv-orleans.fr
  • -

Sponsored By

  • IEEE France Section

Organized By