[visionlist] [CFP] 3rd Int. Workshop on Big Surveillance Data Analysis and Processing @ ICME 2021

[John See]

[Apologies for cross-postings and multiple copies]

** * Call for Papers * **

*3rd International Workshop on Big Surveillance Data Analysis and
Processing (BIG-Surv)*
https://bigsurv.github.io
in conjunction with ICME 2021 @ Shenzhen, China (5-9 July 2021)

*Scope*
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 that can perform monitoring in an automatic
or semi-automatic way. A number of challenges have arisen in the area of
big surveillance data analysis and processing. 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, semantic data (e.g. objects'
trajectory and bounding boxes) has become an essential data type in
surveillance systems owing much to the growth of its size and complexity,
hence introducing new challenging topics, such as efficient semantic data
processing and compression, to the community. Thirdly, with the rapid
growth from static centric-based processing to dynamic computing among
distributed video processing nodes/cameras, new challenges such as
multi-camera analysis, person re-identification, or distributed video
processing are being issued in front of us. To meet these challenges, there
is a great need to extend existing approaches or explore new feasible
techniques.

This is the 3rd edition of our workshop. The first two were organized in
conjunction with ICME 2019 (Shanghai, China) and ICME 2020 (London, UK)

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 the design and implementation of new surveillance video analysis
and processing techniques. Topics of interests include, but are not limited
to:

   - Action/activity recognition, and event detection in surveillance videos
   - Multi-camera surveillance networks and applications
   - Surveillance scene parsing, segmentation, and analysis
   - Crowd parsing, estimation and analysis
   - Person, group or object or re-identification
   - Summarization and synopsis of surveillance videos
   - Big Data processing in large-scale surveillance systems
   - Distributed, edge and fog computing for surveillance systems
   - Low-resolution video analysis and processing: Recognition and object
   detection, restoration, denoising, enhancement, super-resolution
   - Scalable surveillance video analysis with fast model inference and low
   memory footprint
   - Surveillance from multiple modalities, not limited to: UAVs, satellite
   imagery, dash cams, wearables.

Authors are invited to submit a full paper (2-column standard format
according to *ICME 2021 <https://2021.ieeeicme.org/>* guidelines, max. 6
pages total incl. references) electronically via
https://cmt3.research.microsoft.com/ICMEW2021/

*Important Dates*
Paper Submission Due Date: March 13, 2021 [11:59 p.m. PST]
Notification of Acceptance/Rejection: March 27, 2021
Camera-Ready Due Date: April 6, 2021

*Organizers*
Weiyao Lin, Shanghai Jiao Tong University, China (wylin at sjtu.edu.cn)
John See, Multimedia University, Malaysia (johnsee at ieee.org)
Xiatian Zhu, Samsung AI Centre, Cambridge, UK (eddy.zhuxt at gmail.com)
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