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VSCC'2017: Visual Analysis for Smart and Connected Communities

Published: 23 October 2017 Publication History

Abstract

This paper presents a brief summary of the first workshop on Visual Analysis for Smart and Connected Communities (VSCC'2017), which is held in conjunction with the ACM Conference on Multimedia, 2017. VSCC'2017 is the first workshop on visual analysis for smart and connected communities, and is aimed at the creation of a multi-discipline community with the concentration on visual data analysis. The topics addressed in VSCC'2017 cover all aspects of smart communities, including safety, security, retrieval, transportation, information technologies, Internet of Things, etc. The focus is on the development of fundamental theories, algorithms, models towards the parsing of visual data generated by various digital devices (e.g., smart phones, vehicles) in smart communities.

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Robert T Collins, Alan J Lipton, Takeo Kanade, Hironobu Fujiyoshi, David Duggins, Yanghai Tsin, David Tolliver, Nobuyoshi Enomoto, Osamu Hasegawa, Peter Burt, et al. A system for video surveillance and monitoring. VSAM final report, pages 1--68, 2000.
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Cited By

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  • (2024)Exploring determinants of residents’ participation intention towards smart community construction by extending the TPB: a case study of Shenzhen cityEngineering, Construction and Architectural Management10.1108/ECAM-03-2023-0247Online publication date: 23-May-2024
  • (2024)CRITIC-PROMETHEE II-Based Evaluation of Smart Community Services: A Case Study of Shenzhen, ChinaJournal of the Knowledge Economy10.1007/s13132-024-02114-5Online publication date: 4-Jun-2024
  • (2019)A Feature-based Video Transmission Framework for Visual IoT in Fog Computing Systems2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS)10.1109/ANCS.2019.8901872(1-8)Online publication date: Sep-2019

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Published In

cover image ACM Conferences
MM '17: Proceedings of the 25th ACM international conference on Multimedia
October 2017
2028 pages
ISBN:9781450349062
DOI:10.1145/3123266
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2017

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Author Tags

  1. 3d scene reconstruction
  2. commonsense
  3. connected vehicles
  4. image parsing
  5. machine learning
  6. object detection
  7. smart communities
  8. traffic sign recognition
  9. video parsing
  10. visual data

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MM '17
Sponsor:
MM '17: ACM Multimedia Conference
October 23 - 27, 2017
California, Mountain View, USA

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MM '17 Paper Acceptance Rate 189 of 684 submissions, 28%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2024)Exploring determinants of residents’ participation intention towards smart community construction by extending the TPB: a case study of Shenzhen cityEngineering, Construction and Architectural Management10.1108/ECAM-03-2023-0247Online publication date: 23-May-2024
  • (2024)CRITIC-PROMETHEE II-Based Evaluation of Smart Community Services: A Case Study of Shenzhen, ChinaJournal of the Knowledge Economy10.1007/s13132-024-02114-5Online publication date: 4-Jun-2024
  • (2019)A Feature-based Video Transmission Framework for Visual IoT in Fog Computing Systems2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS)10.1109/ANCS.2019.8901872(1-8)Online publication date: Sep-2019

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