[visionlist] [CFP] 5th Int. Workshop on Big Surveillance Data Analysis and Processing @ ICME 2023

[John See]

[Apologies for cross-postings and multiple copies]

*** Call for Papers ***

*5th International Workshop on Big Surveillance Data Analysis and
Processing (BIG-Surv)*
https://bigsurv.github.io
in conjunction with ICME 2023 @ Brisbane, Australia (10-14 July 2023)

*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. At the same time, new issues concerning
privacy and security have also arisen. Therefore, there exists a huge
demand for smart and secure surveillance techniques which can perform
monitoring in an automatic way. Firstly, the huge abundance of video
surveillance data in storage gives rise to the importance of video analysis
tasks such as event detection, action recognition, video summarization
including person re-identification, and anomaly detection. Secondly, with
the rich abundance of semantics and the multimodality of data extracted
from surveillance videos, it is now essential for the community to tackle
new challenges, such as efficient multimodal data processing and
compression. Thirdly, with the rapid shift from static singular processing
to dynamic collaborative computing, it is now vital to consider distributed
and multi-camera video processing on edge- and cloud-based cameras, and at
the same time, offering privacy-preserving considerations to safeguard the
data. This workshop aims to challenge the multimedia community towards
extending existing approaches or exploring brave and new ideas.

This workshop is intended to provide a forum for researchers and engineers
to present their latest innovations and share their experiences on all
aspects relating to new surveillance video analysis and processing
techniques. Topics of interest include, but are not limited to:

• Action/activity recognition, and event detection in surveillance videos
• Object detection and tracking 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
• Data compression in surveillance systems
• Low-resolution video analysis and processing: Recognition and object
detection, restoration, denoising, enhancement, super-resolution
• Surveillance from multiple modalities, not limited to: UAVs, satellite
imagery, dash cams, wearables

Authors are invited to submit a full paper (two-column format, max. 6 pages
incl. references) electronically according to the guidelines available on
our workshop website and the conference website (https://2023.ieeeicme.org)

Paper Submission Site: *https://cmt3.research.microsoft.com/ICMEW2023 *
<https://cmt3.research.microsoft.com/ICMEW2023>
(Please make sure your paper is submitted to the correct track: BIG-Surv)

*Important Dates*
Paper Submission Due Date: *April 10, 2023* [11:59 p.m. PST]
Notification of Acceptance/Rejection: April 23, 2023
Camera-Ready Due Date: May 1, 2023

*Organizers*
John See, Heriot-Watt University Malaysia (j.see at hw.ac.uk)
Minxian Li, Nanjing University of Science and Technology, China (
minxianli at njust.edu.cn)
Saimunur Rahman, CSIRO, Australia (saimun.rahman at data61.csiro.com)
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