The recent progress in machine learning and computer vision for video analysis has been associated with the development of prototypes and software tools. The community is currently endeavouring to transfer this technology to commercially viable and/or socially beneficial applications. However, the distinct objectives of industrial applications in comparison to fundamental research prototypes have slowed down the development of video analysis tools as disruptive technology applications. This industry session aims to bring together researchers from both academia and industry that work towards bridging the gap between research and engineering in the video analysis domain.
The main topics of interest include:
- – CCTV
- – Action recognition
- – Public space surveillance
- – Health and safety applications
- – Archiving and indexing of video datasets
- – Video tracking applications
- – UAV/Satellite video
- – Content-Based Video Retrieval
All accepted papers will be published in the conference proceedings, as part of the Lecture Notes in Computer Science (LNCS) series by Springer.
Note: At least one author of the papers submitted to this session should have an affiliation in industry or applied research institute.
For more information, contact Dr. Panagiotis Sidiropoulos: panagiotis.sidiropoulos@cortexica.com
Organising Committee:
- – Dr Panagiotis Sidiropoulos (Cortexica Vision Systems Ltd./UCL, UK), Chair
- – Dr Khalid Bashir (I. University of Madinah, KSA)
- – Dr Gustavo Fernandez (Austrian Institute of Technology, Austria)
- – Dr Jose Garcia (Universidad de Alicante, Spain)
- – Prof Carlo Regazzoni (University of Genoa, Italy)
- – Dr Eduard Vazquez (Cortexica Vision Systems Ltd., UK)
- – Prof Sergio A Velastin (Universidad Carlos III, Madrid, Spain)
- – Dr. M. Haroon Yousaf (UET Taxila, Pakistan)
- – Prof Qiao Wang (SouthEast University, PRC)
The paper submission deadline is September 3, 2018 September 17, 2018 (extended). You can find other important dates in Important Dates. Papers submitted to the Industry session must follow the regular paper submission guidelines for MMM 2019 (see Author Guidelines), but need not be anonymised. Paper submission is open and the submission system can be accessed from the Paper Submission page.