Call for Papers (PR): Special Issue on Discriminative Feature Learning from Big Data for Visual Recognition

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2014-04-19

Over the past decade there has been a growing interest in the area of video analytics and in the related applications. However, while progress has been made in the areas of video data acquisition, archiving, indexing, retrieval and manipulation, significant efforts remain to be made by both academia and IT industry in order to realize the emerging next-generation video analytic systems that meet the challenges posed by  videos from Youtube, TV, Sports, surveillance, etc.  In this context, it is desirable to develop advanced intelligent analysis systems that reliably detect individual and/or group activities and analyze their link to video events.

Recently, new interdisciplinary technologies that integrate computer vision, pattern recognition, and machine learning have been developed in order to address many challenges in individual and group activity analysis. This Call for Papers seeks for the state-of-the-art research on video/image based analytics, aiming to provide a forum for high impact papers from academia and industry, collect cutting-edge algorithms on individual and/or group activities in video events and address technological, group behavioral, entertainment, legal and cultural aspects in large scale video repository systems.

Example topics include but are not limited to

  • Activity analysis related algorithms: object detection and motion tracking; object identification and re-identification; action/activity/event/behavior recognition; fusion of vision with other sensing modalities
  • Video event systems and performance: research prototypes; hardware & software architectures; performance evaluation
  • Related video applications: video surveillance video retrieval multimedia event detection, video annotation/tagging/recognition, human-computer interfaces, entertainments, computer games.

Submission: Manuscripts to be submitted must not have appeared or be under review elsewhere. All the full papers should follow the CVIU guidelines. The submission website is located at:  http://ees.elsevier.com/cviu. Please make sure that authors select “SI: Group Activities” as the Article Type to ensure be correctly assigned.

Deadlines:
Submission deadline: November 15, 2014
First Review: April 15, 2015
Revisions Due: July 15, 2015
Final Decision: October 15, 2015
Tentative publication: November, 2015

Guest Editors:
Prof. Liang Wang (wangliang@nlpr.ia.ac.cn), Institute of Automation, Chinese Academy of Sciences, China
Dr. Ioannis Patras (Ioannis.Patras@elec.qmul.ac.uk), Queen Mary University of London, UK
Dr. Jian Zhang (Jian.Zhang@uts.edu.au), University of Technology, Sydney, Australia
Dr. Greg Mori (mori@cs.sfu.ca), Simon Fraser University, Canada
Prof. Larry Davis (lsd@umiacs.umd.edu), University of Maryland, USA

For more information, please visit the official CFP page .