SIGKDD Calls for Proposals

Journal of Visual Communication and Image Representation (JVCI) CFP

Journal of Visual Communication and Image Representation (JVCI) - Impact Factor: 1.530

Special Issue on Data-driven Multimedia Forensics and Security

Expected publication date: Nov/Dec 2017

In the last decade a large number of multimedia forensic and security techniques have been proposed to evaluate integrity of multimedia data. However, most of these solutions adopt very limiting and simplifying working conditions, being more appropriate for laboratorial tests than for real-world deployment. Unfortunately, with big data requirements on the table, the stakes are higher now. Forensics and security experts are no longer required to provide the society with solutions for specific cases. Instead, we need to cope with shear amounts of data and in different operational and acquisition conditions. In addition to the traditional multimedia forensics and security research around integrity and authentication, digital images and videos have also been the core components in other related application domains, e.g. biometrics, image and video based information hiding, image and video collection forensics, automatic child porn detection, digital triage of image and video evidence, attacks on image and video-based CAPTCHAs, etc.

A common feature of the above listed multimedia forensics and security problems is that they can all be solved by machine learning techniques driven by training data. In recent years, some new and powerful modeling and machine learning paradigms have been developed that allow us to glean over massive amounts of data and directly extract useful information for proper decision making, thus creating new techniques to solve those multimedia forensics and security problems with improved performance.

This Special Issue invites researchers in all related fields (including but not limited to image and video signal processing, machine learning, computer vision and pattern recognition, cyber security, digital forensics) to join us in a quest for pinpointing the next-generation image and video forensics and security solutions of tomorrow, capable of processing image and video data using the recently-developed deep learning paradigm and other new modelling and learning techniques. ALL submissions must highlight their machine-learning based approach and discuss how their solutions deal with large collections of data. The core data used in your work should be visual data (images and videos). Video data may also include RGB, IR, and depth data. The topics of interest of this Special Issue are listed below. The list is not exhaustive and prospective authors should contact the editors in case of any question. Submissions can contemplate original research, serious dataset collection and benchmarking, or critical surveys.

Example Topics of Interest

  • Attacks on visual CAPTCHAs
  • Biometrics and counter-spoofing
  • Content-protection and counter-protection
  • Counter forensics
  • Cyber threat analysis for image and video data
  • Forensic data fusion (if at least one source contains images and videos)
  • Image and video collection forensics
  • Incident response related to image and video data
  • Multimedia evidence recovery and validation
  • Multimedia forensics (forgery detection, attribution, CGI classification)
  • Multimedia provenance (phylogeny, digital triage of multimedia evidence)
  • Sensitive content detection (porn and child porn detection, violence detection)
  • Surveillance for forensics and security applications
  • Visual analytics for forensics and security applications
  • Visual information hiding: designs and attacks

Guest Editors

Dr. Anderson Rocha, University of Campinas, Brazil,

Dr. Shujun Li, Universityof Surrey, UK,

Dr. C.-C. Jay Kuo, University of Southern California, US,

Dr. Alessandro Piva, University of Florence, Italy,

Dr. Jiwu Huang, Shenzhen University, China,

Important Dates

Submissions: February 28th, 2017

1st. Round of Reviews: May 15th, 2017

Authors Revised Versions: June 30th, 2017

2nd Round of Reviews: August 30th, 2017

Authors Revised Versions: Sept. 30th, 2017

Expected Decision: Mid October, 2017

Expected Publication: Nov./Dec., 2017

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