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
  • [1] Real-time Object Detection for Streaming Perception
    Yang, Jinrong
    Liu, Songtao
    Li, Zeming
    Li, Xiaoping
    Sun, Jian
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 5375 - 5385
  • [2] Motioninsights: real-time object tracking in streaming video
    Banelas, Dimitrios
    Petrakis, Euripides G. M.
    MACHINE VISION AND APPLICATIONS, 2024, 35 (04)
  • [3] Real-time omnidirectional video streaming system
    Ochi, Daisuke
    Iwaki, Shinnosuke
    NTT Technical Review, 2015, 13 (06):
  • [4] Real-time stereoscopic video streaming
    McMenemy, K
    Ferguson, S
    DR DOBBS JOURNAL, 2006, 31 (03): : 18 - +
  • [5] Real-time stereoscopic video streaming
    Intelligent Systems and Control Group, Queen's University, Belfast
    不详
    Dr Dobb's J, 2006, 3 (18-22):
  • [6] Design of Real-time Video Streaming and Object Tracking System for Home Care Services
    Chang, Kuei-Chung
    Liu, Po-Kai
    Yu, Chin-Sheng
    2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2016, : 233 - 234
  • [7] Real-time and Object-based Video Streaming Techniques with Application to Communication System
    Talhar, Nitin. R.
    Thakare, K. S.
    COMPUTING, COMMUNICATION, AND CONTROL, 2011, 1 : 25 - 29
  • [8] PPCensor: Architecture for real-time pornography detection in video streaming
    Mallmann, Jackson
    Santin, Altair Olivo
    Viegas, Eduardo Kugler
    dos Santos, Roger Robson
    Geremias, Jhonatan
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 112 (112): : 945 - 955
  • [9] EFFICIENT REAL-TIME SIMILARITY DETECTION FOR VIDEO CACHING AND STREAMING
    Wu, Victor K. Y.
    2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012), 2012, : 2249 - 2252
  • [10] Real-time Outlier Detection over Streaming Data
    Yu, Kangqing
    Shi, Wei
    Santoro, Nicola
    Ma, Xiangyu
    2019 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI 2019), 2019, : 125 - 132