International Journal of Digital Multimedia Broadcasting

Emergent Techniques and Applications for Big Visual Data


Lead Editor

1Shanghai University of Engineering Science, Shanghai, China

2University of Washington, Washington, USA

3Georgia Institute of Technology, Atlanta, USA

4Chonbuk National University, Jeonju, Republic of Korea

5University of Jena, Jena, Germany

Emergent Techniques and Applications for Big Visual Data


With the exponentially growing number of deployed networked cameras, from fixed to mobile and even airborne, there has been strong demand on emergent techniques for better capturing, compressing, networking, computing, and visualization of these huge amounts of visual data. Moreover, there is also a broad range of new applications and services resulting from these emergent techniques.

The special issue is thus proposed for this journal, which is a peer-reviewed journal that aims to provide a high quality and timely forum for engineers, researchers, and educators whose interests are in digital multimedia broadcasting to learn recent developments and to share related challenges. Authors are invited to submit original papers to this special issue.

Potential topics include but are not limited to the following:

  • Sensing and capturing for big visual data
  • Feature representation and compression of big visual data
  • Networking and dissemination of big visual data
  • Storage and retrieving of big visual data
  • Security and privacy of big visual data
  • Computing and analytics of big visual data
  • Cloud processing and virtualization of big visual data
  • New applications and services of big visual data
International Journal of Digital Multimedia Broadcasting
 Journal metrics
Acceptance rate45%
Submission to final decision66 days
Acceptance to publication137 days
Impact Factor-