Call For Papers IEEE Transactions on Multimedia

Important Dates

Second-round review completed: November 1, 2017 

Paper submission due: April 15, 2017

First-round review completed: July 1, 2017 

Revision Due: August 15, 2017

Final manuscript due: December 1, 2017

Publication date: Early-2018 

 

Video analytics, also known as video content analysis, refers to the capability of automatically analyzing video to extract knowledge/information and detect and determine temporal and spatial events. Video analytics is still an emerging technology with techniques that are continuously being developed to help make widespread implementation feasible in the years ahead. Such analytics has been typically used in semantic categorization and retrieval of video databases. A goal of this special issue is to focus on the real time systems aspect of video analytics beyond categorization and retrieval.

With increasing hardware capability and advances in algorithms used, real-time video analytics is now being used in a wide range of domains including entertainment,health-care, retail, automotive, transport, home automation, emotion analysis, aesthetics, inappropriate content detection, safety and security.From the sensing aspect, 3D cameras such as RGB-D and LiDAR (Light Detection and Ranging) cameras are becoming more and more affordable, enabling additional areas of research and applications, such as, self-driving cars employing video analytics on LiDAR captured data for path planning as well as obstacle detection. Research advances in hardware has facilitated miniaturization of components needed for image sensing, processing, communication and rendering. This miniaturization has also led to Internet of Things (IoT) devices and solutions with visual information processing at the core. Since video analytics on wearable/IoT/mobile devices need to work with small computational resources on-board, distributed algorithms are being developed to have these devices work in tandem with servers in cloud and high performance computing clusters.

This special issue aims to provide the much needed research forum for sharing the challenges and recent advances in video analytics algorithms and applications. We envisage that this forum will bring together researchers working on new approaches in multiple, related fields: camera (both 2D and 3D) pipeline processing, machine learning, video content analysis, wearable/mobile devices, and application domains.