The International Workshop on Big Data in Multimedia Transmission and Analytics (BDMTA 2020)
With the development of wireless communications and the advanced capabilities of smartphones, tablets, and vehicles, people spend a lot of time on the Internet to create and retrieve multimedia data, including image, audio, video, and text. The fast and widespread use of multimedia has resulted in big data revolution in multimedia management systems. For example, YouTube users upload over 100h of videos every minute in a day, and 255 million active users of Twitter send approximately 500 million tweets every day. Another statistic shows that Internet traffic through multimedia sharing has reached 6,130 petabytes every month in 2016. It is predicted that the digital data rate will exceed 40ZB by 2020, which means every person in the world will produce almost 5,200 gigabytes of data.
Multimedia contents are widely used for various applications to ensure personal and public services. These contents are transferred through different kinds of networks, including the classic Internet, 5G network, Cognitive Radio Networks, Vehicular Ad Hoc Networks, Internet of Things (IoT), etc. The main goal of the multimedia transmission is to ensure a better Quality of Experience (QoE) and lower latency, especially for emergency traffic. Facing the huge amount of multimedia data and various networks, efficient data transmission with quality QoE remains a hot topic and attracts many research activities. In addition, multimedia analytics involves the activities of storing, manipulating, managing, mining, understanding, and visualizing different types of data to solve real-world challenges. In particular, the activities include text analysis, image/video processing, computer vision, audio processing, and database management for a variety of applications such as healthcare, education, entertainment, and surveillance. Handling this huge amount of complex data is not feasible using conventional data analysis. Therefore, more comprehensive and sophisticated solutions are required to manage such large and unstructured multimedia data.
Topics include, but are not limited to:
|Challenges, solutions, and applications in multimedia big data transmission
Wireless multimedia transmission in Cognitive Radio Networks
Multimedia transmission in Vehicular Ad Hoc Networks
Multimedia transmission in the Internet of Things
Multimedia transmission in the 5G network
SDN-enabled multimedia transmission
Applications and solutions to the future multimedia transmissions
|Quality of service and quality of experience in multimedia transmission
Multimedia data storage systems, e.g., key-value stores, document stores, graph databases, etc.
Challenges, solutions, and applications in multimedia big data analytics
Applications and solutions of multimedia big data mining
Multimedia analytics for the Internet of Things
Machine learning in multimedia big data analytics
Intelligent multimedia data analytics
The workshop organizers cordially invite submissions of original research work to The International Workshop on Big Data in Multimedia Transmission and Analytics (BDMTA 2020), in conjunction with The 13th EAI International Conference on Mobile Multimedia Communications, to be held on July 22-23, 2020 in Harbin, China. Paper formatting instructions can be found here. Please note that paper length is 4-6 pages, and the review process will be single blind.
Guodong Wang, Massachusetts College of Liberal Arts, USA, email@example.com
Yanxiao Zhao, Virginia Commonwealth University, USA firstname.lastname@example.org
Workshop: TBA (one of the MOBIMEDIA 2020 conference days)
Location: Harbin, China (venue to be announced)
Paper Due: January 31, 2020
Paper Notification: March 16, 2020
Camera-ready Paper Due: April 22, 2020
Start of MobiMedia Conference: July 22, 2020
End of MobiMedia Conference: June 23, 2020