Integrated Interoperability Based Panoramic Video Synopsis Framework

被引:1
作者
Ingle, Palash Y. [1 ,2 ]
Kim, Young-Gab [1 ,2 ]
机构
[1] Sejong Univ, Dept Comp & Informat Secur, Seoul, South Korea
[2] Sejong Univ, Convergence Engn Intelligent Drone, Seoul, South Korea
来源
39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024 | 2024年
关键词
Internet of Things; Interoperability; Video Surveillance;
D O I
10.1145/3605098.3635937
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The surge in intelligent video surveillance systems for public safety has brought about technological advancements but poses challenges, including handling vast video data. Issues such as extraction, analysis, storage scarcity, and hyperconnectivity emerge as a consequence. Surveillance videos often feature extended periods of empty frames, underscoring the need for efficient information extraction. Video synopsis has emerged as a key framework for streamlined storage and analysis in surveillance. However, the existing video synopsis methodology faces limitations in dealing with the heterogeneous nature of devices that capture videos in various formats (e.g., drones, Ip cameras, wired cameras) and using diverse software and frameworks. Therefore, constructing a video synopsis in heterogeneous platforms is challenging because it raises many interoperability issues. The existing video synopsis methodology is not applicable to heterogeneous devices because they create a synopsis only for a single-view camera. To address these issues, we propose an interoperability-based design to create a panoramic video synopsis. Initially, videos synchronized from different platforms are converted into a standardized format. Panoramic stitching was then applied to create a panoramic view, which was processed to extract the foreground tubes and background, facilitating the construction of a comprehensive synopsis.
引用
收藏
页码:584 / 591
页数:8
相关论文
共 37 条
  • [1] Abbadi NKEL., 2021, J PHYS C SER, V1999, DOI 10.1088/1742-6596/1999/1/012115
  • [2] Chen Jianping, 2009, 2009 1 AS HIM INT C, P1
  • [3] Derpanis K.G., 2010, IMAGE ROCHESTER, V4, P2
  • [4] An update on Uniform Resource Locator (URL) decay in MEDLINE abstracts and measures for its mitigation
    Ducut, Erick
    Liu, Fang
    Fontelo, Paul
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2008, 8 (1)
  • [5] Ghatak Subhankar, 2019, 2019 International Conference on Information Technology (ICIT), P483, DOI 10.1109/ICIT48102.2019.00091
  • [6] An improved surveillance video synopsis framework: a HSATLBO optimization approach
    Ghatak, Subhankar
    Rup, Suvendu
    Majhi, Banshidhar
    Swamy, M. N. S.
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (7-8) : 4429 - 4461
  • [7] Multiview abnormal video synopsis in real-time
    Ingle, Palash Yuvraj
    Kim, Young-Gab
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 126
  • [8] Video Synopsis Algorithms and Framework: A Survey and Comparative Evaluation
    Ingle, Palash Yuvraj
    Kim, Young-Gab
    [J]. SYSTEMS, 2023, 11 (02):
  • [9] DVS: A Drone Video Synopsis towards Storing and Analyzing Drone Surveillance Data in Smart Cities
    Ingle, Palash Yuvraj
    Kim, Yujun
    Kim, Young-Gab
    [J]. SYSTEMS, 2022, 10 (05):
  • [10] Real-Time Abnormal Object Detection for Video Surveillance in Smart Cities
    Ingle, Palash Yuvraj
    Kim, Young-Gab
    [J]. SENSORS, 2022, 22 (10)