SS06 - Efficient Multimedia Sensing and Computing on Industrial Applications

Special Session Organized by

Tommy W. S. Chow, Department of Electronic Engineering, City University of Hong Kong, Hong Kong; Zhou Wu, Department of Automatic Control, Chongqing University, Chongqing, China; Jingjing Cao, School of Logistics Engineering, Wuhan University of Technology, Wuhan, China;

In most real-world industrial applications, such as multi-modal retrieval, traffic surveillance, video advertisement embedding, and automatic driving systems, information usually comes through multimedia data. For example, Web images in a multi-model retrieval system usually involve textual descriptions and multi-label tags; the videos in traffic surveillance contain both acoustic and visual signals; and sensory perceptions typically used in automatic driving system may need extensive multi-media data from multi-channel inputs in visual, auditory and motor pathways. Thereby, how to characterize the property of multimedia data so that it can be managed to enable different learning tasks of industrial applications is essential. This requires research to develop robust and sophisticated models to classify, retrieve and understand multi-media information. Moreover, with the explosion of multimedia data, the efficiency of model should also be considered so that systems can cope with the ever-demanding real-world industrial applications. In this special section, we look for cutting-edge techniques to efficiently handle multimedia data-information for sensing and computing in industrial applications.

Topics under this track include (but not limited to):

  • Multi-media information retrieval
  • Multi-label and multi-model classification
  • Deep learning-based image classification, semantic segmentation and object detection
  • Video advertisement embedding
  • Video surveillance
  • Image processing for unmanned drones
  • Modeling and optimization of industrial applications
  • Vision-based recognition in cashier-less retail
  • Multi-sensor data fusion

Deadlines

Submission of papers (regular, special sessions) Mar 15, 2019 Mar 31, 2019
Notification of acceptance April 22, 2019 May 1, 2019
Submission of final manuscripts June 05, 2019

Submission Guidelines

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Download Call for Papers

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