Introduction

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 arised. 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 challenge the multimedia community towards extending existing approaches or exploring brave and new ideas.

This is the 6th edition of our workshop. The first five were organized in conjunction with ICME 2019 (Shanghai, China), ICME 2020 (London, UK), ICME 2021 (Shenzhen, China), ICME 2022 (Taipei, Taiwan ROC) and ICME 2023 (Brisbane, Australia).

Scope & Topics

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:

  • 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
  • Person, group or object or re-identification
  • Summarization and synopsis generation of surveillance videos
  • Big data processing in large-scale surveillance systems
  • Resource-constrained computing for surveillance systems
  • Surveillance from multiple modalities, not limited to: UAVs, satellite imagery, dash cams, wearables
  • Surveillance signal quality enhancement
  • Multi-view video analysis and processing
  • Data compression and coding in surveillance systems
  • Data synthesis and generation for surveillance applications
  • Graph-based models (e.g. GNNs, GSP) for surveillance analysis
  • Multimodal foundational models (e.g. LLMs, LMMs) for surveillance analysis
  • Low-resolution and gigapixel-level video analysis and processing

Call for Papers

News
The 6th edition of this workshop has been accepted to be held at ICME 2025 in Nantes, France! Stay tune for more information.
Important Dates
    Paper Submission Due Date: March 25, 2025 (tentative)
    Notification of Acceptance/Rejection: Mid April 2025 (tentative)
    Camera-Ready Due Date (firm deadline): TBC
    Workshop Date and Venue: June 30 or July 4, 2025 (TBC)
Format Requirements
    Length: Papers must be no longer than 6 pages, including all text, figures, and references.
    Format: Workshop papers have the same format as regular papers. See the main conference instructions. Submitted papers must be double blind following conference guidelines.

Schedule

To be confirmed after paper acceptance.

Organizers

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Weiyao Lin
 wylin@sjtu.edu.cn
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John See
 j.see@hw.ac.uk
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Yipeng Liu
 yipengliu@uestc.edu.cn
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Junhui Hou
 jh.hou@cityu.edu.hk
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Thierry Bouwmans
 tbouwman@univ-lr.fr
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Thittaporn Ganokratanaa
 thittaporn.gan@kmutt.ac.th

Contact

Please feel free to send any question or comments to:
j DOT see AT hw.ac.uk