Integrative Computer Vision and Multimedia Analytics

Submission Deadline: 30 January 2020

IEEE Access invites manuscript submissions in the area of Integrative Computer Vision and Multimedia Analytics.

In recent years, research is intensifying in computer vision-driven applications such as autonomous vehicles, computer-aided diagnosis and augmented reality. Application-level semantics of streaming video sources are becoming more and more ubiquitous in a wide spectrum of applications. Images, videos and audio can provide rich data sources, from which additional information and context can be surmised. Theoretical, practical, and algorithmic advances have opened up research opportunities that seek higher levels of semantic interpretation of Integrative computer vision and multimedia analytics.

Autonomous vehicles have attracted more attention in recent years because traffic safety is of paramount importance. Also, significant progress in artificial intelligence makes it possible to evolve driving to a more intelligent and autonomous stage. A variety of sensing modalities has become available, including radar, LIDAR, and computer vision. With advances in camera sensing and computational technologies, advances in vehicle detection using monocular vision, stereo vision, and sensor fusion with vision have been extremely active research areas in the intelligent vehicles community.

To deal with the extent and variety of digital media, researchers are combining multimedia analysis and visual analytics to form the new field of multimedia analytics. This Special Section in IEEE Access is aiming to bring attention to the critical new suite of technologies required to analyze images, text, video, geospatial data, audio, graphics, tables, and other forms of information. Multimedia analytics is a critical need for a broad range of applications, including, but not limited to, medicine, economics, social media, and security.

The topics of interest include, but are not limited to:

  • Autonomous vehicle detection
  • Autonomous platoon vehicle modeling
  • Autonomous robots
  • Multimodal medical image registration
  • Image/video summarization and visualization
  • Cross-media retrieval– fine-grained visual search
  • Vision-driven surveillance and monitoring systems
  • Visually-guided manipulation of physical objects
  • Human assistive devices and autonomous design
  • Real-time visual tracking
  • Real-time event detection and understanding
  • Active perception through human-machine interactions
  • Deep learning for multimedia retrieval
  • Applications of multimedia analytics (Healthcare, Fintech, large video archives, etc.

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor:  Guitao Cao, East China Normal University, China

Guest Editors:

    1. Ye Duan, University of Missouri at Columbia, USA
    2. Chao Ma, Shanghai Jiao Tong University, China
    3. Yin Li, University of Wisconsin-Madison, USA
    4. Vladimir M. Mladenovic, University of Kragujevac, Serbia


Relevant IEEE Access Special Sections:

  1. Visual Analysis for CPS Data
  2. Multimedia Analysis for Internet-of-Things
  3. Big Data Learning and Discovery

IEEE Access Editor-in-Chief:
  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: