-------------------------------------------------------------------------- Pattern Recognition Special Issue on Interactive Imaging and Vision Paper Deadline: 31 May 2008 Publication date: Summer 2009 Call for Papers URL: http://www.viplab.cs.nott.ac.uk/pr/PR-SI-IIV.html Text: Call for Papers Pattern Recognition Special Issue on Interactive Imaging and Vision For many problems in pattern recognition, image processing, computer vision, and computer graphics, it is often very difficult or maybe even impossible to develop fully automatic solutions. For example, despite much research effort, a fully automatic solution to the longstanding image segmentation problem is still an unattainable goal. Other examples where a fully automatic solution is difficult to achieve include content-based image retrieval (CBIR) where it is often very hard to automatically retrieve images that match the users’ expectations. Humans have remarkable abilities in distinguishing different image regions or separating different classes of objects. Importantly, users’ intentions may differ in different application scenarios. Furthermore, in many applications such as medical imaging, computer-aided diagnosis and other mission critical applications, fully automatic solutions may be even undesirable and human intervention and participation in the decision process may be necessary. Therefore, it is both helpful and sometimes necessary to incorporate high-level knowledge and human intentions into the computational algorithms to solve problems in imaging, vision and pattern recognition. Interactive approaches provide semi-automatic solutions. The users are in the computational loop and interactively input their knowledge and intentions which are taken as constraints and priors by the computational algorithms to iteratively refine the models and solutions. For many problems in pattern recognition, image processing, computer vision, and computer graphics, such interactive approaches may offer a more realistic solution paradigm. This special issue will highlight new research directions and the latest technological advancement in interactive visual information processing. We invite researchers and practitioners to submit their original unpublished work to this special issue. We solicit papers dealing with the theory and practice of interactive visual information processing. Topics of interest include, but are not limited to: Computational models and algorithms o Active learning o Bayesian networks o Collaborative filtering o Energy minimization o Fast and efficient algorithms o Graph-based methods o Graph cut o Graphical models o High level knowledge modelling o Latent semantic analysis o Markov random field models o Optimization techniques o Random walk o Semi-supervised learning methods o Statistical inference methods o Support vector machine o Other related methods and algorithms Applications o Interactive browsing and navigation of image and video databases o Interactive colorization o Interactive data clustering o Interactive data and information visualization o Interactive image and video editing o Interactive image retrieval and relevance feedback o Interactive image segmentation o Interactive medical image segmentation o Interactive modelling user intentions o Interactive modelling visual semantics o Interactive object recognition o Interactive visual information processing systems and tools o Interactive visual object extraction o Interactive visual tracking and surveillance o Real world application case studies Information for Authors Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of Pattern Recognition at http://ees.elsevier.com/pr/ and submit manuscripts for this special issue via this page, please select “Interactive Imaging and Vision” as the Article Type. Important Dates: Deadline for submission: 31 May 2008 1st review decision: 30 September 2008 Notification of acceptance: 30 December 2008 Final papers due: 30 January 2009 Planned publication: Summer 2009 Guest Editors Guoping Qiu, School of Computer Science, The University of Nottingham, United Kingdom (qiu AT cs.nott.ac.uk) Pong C Yuen, Department of Computer Science, Hong Kong Baptist University (pcyuen AT comp.hkbu.edu.hk)