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Publisher’s Note Most cited paper award On behalf of the Editor-in-Chief and Elsevier, the Publisher is pleased to announce the winning article for our annual Computer Vision and Image Understanding Most Cited Paper Award. Our most cited paper award offers an alternative to committee selected ‘‘best papers’’. The only objective and transparent metric that is highly correlated with the quality of a paper is the number of cita- tions. We hope that the design of this most cited paper award will ensure fairness and equal opportunity for all authors published in the journal. It is our hope that this award will stimulate the best minds to release their best work. Papers for this distinction are determined solely based on the highest number of cites, excluding self-citations, received for all journal articles published between the years 2010 and 2012 [data culled from Scopus reports (www.scopus.com) created on 7 January 2013]. The winning paper is ‘‘A survey of vision-based methods for action representation, segmentation and recognition’’, by Daniel Weinland, Remi Ronfard, and Edmond Boyer, Comput. Vis. Image Underst. 115 (2011) 224–241. We congratulate Drs. Daniel Weinland, Rémi Ronfard, and Edmond Boyer on this great achievement. Dr. Daniel Weinland performed his under- graduate studies in computer engineering at the University of Mannheim (Germany) and received his diploma degree in 2004. From 2004 to 2008 he was working as a research assistant at INRIA Grenoble Rhône-Alpes (France) and he obtained his PhD degree from the Grenoble Institute of Technology (France) in 2008. He was a post-doctoral researcher at EPFL (Lausanne, Switzerland) from 2008 to 2009 and a senior researcher at Deutsche Tel- ekom Laboratories, TU-Berlin (Germany) in 2010. In 2011 he was working as data scientist for Epionics Medical GmbH (Potsdam, Germany). Since 2012 he is working as data mining expert for Zalando GmbH (Berlin, Germany). Dr. Rémi Ronfard is a senior researcher at INRIA with a 20 year experience in industry and academia. He conducted research in a variety of domains, from geometric design to 3D animation and computer vision. This in- cludes work on non-manifold topology in CA- TIA (Dassault Systemes, 1991), mesh LODs (IBM Research, 1992), digital cartoon story- boarding (INA, 1995), aesthetic surface design (IBM Research, 2000), action recognition and statistical analysis of image and film styles (INRIA 2002–2007). He has been an expert in the MPEG group and has directed an R&D team on automatic cinematography and movie editing (Xtranormal Technologies, Montreal 2007–2009). He is a founding member of the IMAGINE team at INRIA and the head of the ‘‘Geometry and Image’’ Department of Laboratoire Jean Kuntzmann (LJK) at the University of Grenoble. Dr. Edmond Boyer is a senior researcher at INRIA Grenoble Rhône-Alpes (France) where he leads the Morpheo research team in com- puter vision. He obtained a PhD in computer science from the Institut National Polytechni- que de Lorraine (France) in 1996. He was a post-doctoral researcher at the University of Cambridge (UK) in 1998 and an associate pro- fessor at Grenoble University from 1998 to 2010. He joined the INRIA Grenoble as a re- search director in 2010. His current research interests are on 3D dynamic modelling from images and videos, motion perception and analysis from videos, and immersive and interactive environments. He is co-founder of the 4D View Solution Company that is specializing in 2D and 3D video capture. Gail M. Rodney Computer Vision and Image Understanding Publisher E-mail address: [email protected] http://dx.doi.org/10.1016/j.cviu.2013.02.007 Computer Vision and Image Understanding 117 (2013) 571 Contents lists available at SciVerse ScienceDirect Computer Vision and Image Understanding journal homepage: www.elsevier.com/locate/cviu

Most cited paper award

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Computer Vision and Image Understanding 117 (2013) 571

Contents lists available at SciVerse ScienceDirect

Computer Vision and Image Understanding

journal homepage: www.elsevier .com/ locate/cviu

Publisher’s Note

Most cited paper award

On behalf of the Editor-in-Chief and Elsevier, the Publisher is

pleased to announce the winning article for our annual ComputerVision and Image Understanding Most Cited Paper Award. Ourmost cited paper award offers an alternative to committee selected‘‘best papers’’. The only objective and transparent metric that ishighly correlated with the quality of a paper is the number of cita-tions. We hope that the design of this most cited paper award willensure fairness and equal opportunity for all authors published inthe journal. It is our hope that this award will stimulate the bestminds to release their best work.

Papers for this distinction are determined solely based on thehighest number of cites, excluding self-citations, received for alljournal articles published between the years 2010 and 2012 [dataculled from Scopus reports (www.scopus.com) created on 7January 2013]. The winning paper is ‘‘A survey of vision-basedmethods for action representation, segmentation and recognition’’,by Daniel Weinland, Remi Ronfard, and Edmond Boyer, Comput.Vis. Image Underst. 115 (2011) 224–241.

We congratulate Drs. Daniel Weinland, Rémi Ronfard, andEdmond Boyer on this great achievement.

http://dx.doi.org/10.1016

Dr. Daniel Weinland performed his under-graduate studies in computer engineering atthe University of Mannheim (Germany) andreceived his diploma degree in 2004. From2004 to 2008 he was working as a researchassistant at INRIA Grenoble Rhône-Alpes(France) and he obtained his PhD degree fromthe Grenoble Institute of Technology (France)in 2008. He was a post-doctoral researcher atEPFL (Lausanne, Switzerland) from 2008 to2009 and a senior researcher at Deutsche Tel-

ekom Laboratories, TU-Berlin (Germany) in 2010. In 2011 he wasworking as data scientist for Epionics Medical GmbH (Potsdam,Germany). Since 2012 he is working as data mining expert forZalando GmbH (Berlin, Germany).

/j.cviu.2013.02.007

Dr. Rémi Ronfard is a senior researcher atINRIA with a 20 year experience in industryand academia. He conducted research in avariety of domains, from geometric design to3D animation and computer vision. This in-cludes work on non-manifold topology in CA-TIA (Dassault Systemes, 1991), mesh LODs(IBM Research, 1992), digital cartoon story-boarding (INA, 1995), aesthetic surface design(IBM Research, 2000), action recognition andstatistical analysis of image and film styles

(INRIA 2002–2007). He has been an expert in the MPEG groupand has directed an R&D team on automatic cinematography andmovie editing (Xtranormal Technologies, Montreal 2007–2009).He is a founding member of the IMAGINE team at INRIA and thehead of the ‘‘Geometry and Image’’ Department of Laboratoire JeanKuntzmann (LJK) at the University of Grenoble.

Dr. Edmond Boyer is a senior researcher atINRIA Grenoble Rhône-Alpes (France) wherehe leads the Morpheo research team in com-puter vision. He obtained a PhD in computerscience from the Institut National Polytechni-que de Lorraine (France) in 1996. He was apost-doctoral researcher at the University ofCambridge (UK) in 1998 and an associate pro-fessor at Grenoble University from 1998 to2010. He joined the INRIA Grenoble as a re-search director in 2010. His current research

interests are on 3D dynamic modelling from images and videos,motion perception and analysis from videos, and immersive andinteractive environments. He is co-founder of the 4D View SolutionCompany that is specializing in 2D and 3D video capture.

Gail M. RodneyComputer Vision and Image Understanding Publisher

E-mail address: [email protected]