Theme: Big Surveillance Data Processing and Analytics.
In conjunction with the 2019 IEEE International Conference on Multimedia and Expo (ICME), which would be held in July 8-12, 2019 Shanghai, China
We intend to have a half-day workshop(either on July 8 or July 12, 2019).
With the rapid growth of video surveillance applications and services, the amount of surveillance videos has become extremely "big" which makes human monitoring tedious and difficult. Therefore, there exists a huge demand for smart surveillance techniques which can perform monitoring in an automatic or semi-automatic way. Firstly, with the huge amount of surveillance videos in storage, video analysis tasks such as event detection, action recognition, and video summarization are of increasing importance in applications including events-of-interest retrieval and abnormality detection. Secondly, with the fast increase of semantic data (e.g., objects' trajectory & bounding box) extracted by video analysis techniques, the semantic data have become an essential data type in surveillance systems, introducing new challenging topics, such as efficient semantic data processing and semantic data compression, to the community. Thirdly, with the rapid growth from the static centric-based processing to the dynamic collaborative computing and processing among distributed video processing nodes or cameras, new challenges such as multi-camera joint analysis, human re-identification, or distributed video processing are being issued in front of us. The requirement of these challenges is to extend the existing approaches or explore new feasible techniques.
This workshop is intended to provide a forum for researchers and engineers to present their latest innovations and share their experiences on all aspects of design and implementation of new surveillance video analysis and processing techniques. Topics of interests include, but are not limited to:
Weiyao Lin, wylin@sjtu.edu.cn.