iblueCulture: Data Streaming and Object Detection in a Real-Time Video Streaming Underwater System

被引:0
|
作者
Vlachos, Apostolos [1 ]
Bargiota, Eleftheria [1 ]
Krinidis, Stelios [1 ,2 ]
Papadimitriou, Kimon [3 ]
Manglis, Angelos [4 ]
Fourkiotou, Anastasia [5 ]
Tzovaras, Dimitrios [1 ]
机构
[1] Informat Technol Inst Ctr Res & Technol Hellas, GR-57001 Thermi, Greece
[2] Democritus Univ Thrace DUTH, Dept Management Sci & Technol, GR-65404 Kavala, Greece
[3] Aristotle Univ Thessaloniki, Fac Engn, Sch Rural & Surveying Engn, GR-54124 Thessaloniki, Greece
[4] Skopelos Dive Ctr, GR-57001 Thermi, Greece
[5] Atlantis Consulting SA, GR-57001 Thermi, Greece
关键词
underwater cultural heritage; object detection; dry dive; virtual reality;
D O I
10.3390/rs16132254
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The rich and valuable underwater cultural heritage present in the Mediterranean is often overlooked, if not completely unknown, due to the inherent difficulties in using physical approaches. The iblueCulture project was created to bridge that gap by introducing a real-time texturing and streaming system. The system captures video streams from eight underwater cameras and manipulates it to texture and colorize the underwater cultural heritage site and its immediate surroundings in a virtual reality environment. The system can analyze incoming data and, by detecting newly introduced objects in sight, use them to enhance the user experience (such as displaying a school of fish as they pass by) or for site security. This system has been installed in some modern and ancient shipwrecks in Greece and was used for in situ viewing. It can also be modified to work remotely, for example, in museums or educational institutions, to make the sites more accessible and raise public awareness. It can potentially be used in any underwater site, both for presentation and education, as well as for monitoring and security purposes.
引用
收藏
页数:24
相关论文
共 50 条
  • [31] Real-time Streaming Video Denoising with Bidirectional Buffers
    Qi, Chenyang
    Chen, Junming
    Yang, Xin
    Chen, Qifeng
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2022, 2022, : 2758 - 2766
  • [32] Storage technique for real-time streaming of layered video
    Sooyong Kang
    Sungwoo Hong
    Youjip Won
    Multimedia Systems, 2009, 15 : 63 - 81
  • [33] Foveated Video Coding for Real-Time Streaming Applications
    Wiedemann, Oliver
    Hosu, Vlad
    Lin, Hanhe
    Saupe, Dietmar
    2020 TWELFTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX), 2020,
  • [34] Real-Time Classification of Streaming Sensor Data
    Kasetty, Shashwati
    Stafford, Candice
    Walker, Gregory P.
    Wang, Xiaoyue
    Keogh, Eamonn
    20TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL 1, PROCEEDINGS, 2008, : 149 - +
  • [35] Real-time processing of streaming big data
    Safaei, Ali A.
    REAL-TIME SYSTEMS, 2017, 53 (01) : 1 - 44
  • [36] Real-time processing of streaming big data
    Ali A. Safaei
    Real-Time Systems, 2017, 53 : 1 - 44
  • [37] Real-time streaming of environmental field data
    Vivoni, ER
    Camilli, R
    COMPUTERS & GEOSCIENCES, 2003, 29 (04) : 457 - 468
  • [38] Human Pose Simulation and Detection in Real Time Using Video Streaming Data
    Ponnarassery P.K.
    Agnihotram G.
    Naik P.
    SN Computer Science, 2020, 1 (3)
  • [39] Real-Time Deepfake System for Live Streaming
    Fan, Yifei
    Xie, Modan
    Wu, Peihan
    Yang, Gang
    PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, ICMR 2022, 2022, : 202 - 205
  • [40] Real-time traffic shape monitoring system for video/audio streaming systems
    Murooka, T
    Hashimoto, M
    Miyazaki, T
    Nakamura, Y
    2005 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS (APCC), VOLS 1& 2, 2005, : 1058 - 1062