Multi-Model Computing of Marine Big Data
at ACM Multimedia Asia 2021 Conference, 1 to 3 December, 2021
NEWS
The paper submission site is open.
WORKSHOP AIM AND TOPICS
Different from the traditional multimedia technology which mainly focuses on human life, it is a novel and challenging problem to study multimedia data analysis methods for marine big data. Compared with traditional multimedia data, marine big data has big differences in feature distribution, content understanding, applications, etc. This makes existing multimedia analysis method in target detection and recognition, tracking and depth estimation and other tasks cannot be simply applied to ocean data analysis. The study of multimedia data analysis technology with the marine big data can help humans understand the marine, realize the detection and protection of ocean resources intelligently, and provide important technical support for the protection of various rare ocean resources.The purpose of this workshop includes the following five points: 1) Collect the latest research of marine multimedia data analysis; 2) Promote the closer combination of multimedia content analysis technology and marine applications; 3) Call for a coordinated effort to face the challenges of marine multimedia data analysis; 4) Introduce the important work related to marine multimedia data analysis, and puts forward the future research direction in this field. 5) Encourage artificial intelligence in multimedia to solve key problems in marine science. We believe that this workshop will provide an extensive exchange platform for researchers related to marine multimedia data analysis, which is conducive to the vigorous development of this field. To this end, we solicit original research and survey papers in (but not limited to) the following topics:
- Marine object detection
- Marine object re-identification
- Cross-modal hash retrieval in marine area
- Fine-grained identification of marine organisms
- Artificial Intelligence for coastal environment evolution prediction
- Artificial Intelligence for optimization of ecological dynamic model
- Marine big data mining methods and applications
CALL FOR PAPERS
Marine multimedia data analysis and retrieval techniques are essential for marine resource exploration and
marine environment prediction and forecasting. The main analytical tasks based on the marine domain include
detection, identification, retrieval, tracking, and prediction forecasting of marine environmental data such as
weather, temperature, humidity, and rainfall. Detection and protection of marine resources can be intelligent
through detection, identification and tracking technologies, which provides important technical support for the
protection of various types of rare marine resources. Today， In order to better understand the ocean, humans
are rapidly collecting a wide variety of marine multimedia big data. Therefore, in this workshop, we will present
the recent advances of multimedia technology in marine big data. The main analytical tasks based on the marine
domain include detection, identification, retrieval, tracking, and prediction forecasting of marine environmental
data such as weather, temperature, humidity, and rainfall. Exploring multi-modal data provides important
technical support for understanding the marine and protecting various rare marine resources. We believe that
this workshop will facilitate a closer integration of multimedia content analysis technologies with applications
in the marine field. we solicit original research and survey papers in (but not limited
- Marine object detection
- Marine object re-identification
- Cross-modal hash retrieval in marine area
- Fine-grained identification of marine organisms
- Artificial Intelligence for coastal environment evolution prediction
- Artificial Intelligence for optimization of ecological dynamic model
- Marine big data mining methods
IMPORTANT DATES
- Submission deadline: 15 October 2021
- Notifications of acceptance: 1 November 2021
- Camera ready submission: 7 November 2021
SCHEDULE
Detailed program coming soon
CHAIRS
Jie Nie, Ocean University of China
Lei Huang, Ocean University of China; Pilot National Laboratory for Marine Science and Technology (Qingdao)
An-An Liu, Tianjin University
Junbo Guo, State Key Laboratory of Communication Content Cognition, People's Daily Online
Zhiqiang Wei, Ocean University of China; Pilot National Laboratory for Marine Science and Technology (Qingdao)
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The workshop is collaboration with Ocean Universtiy of China，Tianjin University，Pilot National Laboratory for Marine Science and Technology (Qingdao) and State Key Laboratory of Communication Content Cognition, People's Daily Online.