PanoSyn: immersive video synopsis for spherical surveillance video

被引:0
|
作者
S PRIYADHARSHINI
ANSUMAN MAHAPATRA
机构
[1] National Institute of Technology Puducherry,Department of Computer Science and Engineering
来源
Sādhanā | / 47卷
关键词
Immersive video; video synopsis; spherical video; panoramic surveillance video; 360; video;
D O I
暂无
中图分类号
学科分类号
摘要
Finding an exciting event in a lengthy spherical (360∘\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{\circ }$$\end{document}) surveillance video having an unlimited Field of View (FoV) is challenging and time-consuming. Hence, this paper proposes a novel spherical video synopsis framework to condense the 360∘\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{\circ }$$\end{document} surveillance video. It also incorporates an action recognition module, making monitoring important activities easy, followed by less critical ones. The framework provides flexibility for generating synopsis from spherical videos based on the viewer’s preferences. The preferences include customized FoV visualization of the generated spherical synopsis video and FoV-based personalized synopsis video generation. In the first case, the viewer experience is customized by viewing the interested FoV based on the head movement over the generated spherical synopsis video. In the second case, the viewer experience is personalized by generating a synopsis video only for the viewer’s interested FoV dynamically. Overall, the proposed framework creates a condensed immersive video using various optimization techniques by reducing collisions between objects, preserving all events with interaction, chronological ordering, and showing the viewer only the specified number of objects per frame in the synopsis video recognizing important actions. Exhaustive experimental analysis of the used optimization algorithm is performed for the proposed video synopsis framework applicable for unlimited FoV. The analysis includes a video synopsis of varying lengths and predefined lengths.
引用
收藏
相关论文
共 50 条
  • [1] PanoSyn: immersive video synopsis for spherical surveillance video
    Priyadharshini, S.
    Mahapatra, Ansuman
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2022, 47 (03):
  • [2] A Personalized Video Synopsis Framework for Spherical Surveillance Video
    Priyadharshini S.
    Mahapatra A.
    Computer Systems Science and Engineering, 2023, 45 (03): : 2603 - 2616
  • [3] Surveillance Video Synopsis
    Choudhary, Vikas
    Tiwari, A. K.
    SIXTH INDIAN CONFERENCE ON COMPUTER VISION, GRAPHICS & IMAGE PROCESSING ICVGIP 2008, 2008, : 207 - 212
  • [4] MOHASA: A Dynamic Video Synopsis Approach for Consumer-Based Spherical Surveillance Video
    Priyadharshini, S.
    Mahapatra, Ansuman
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (01) : 290 - 298
  • [5] Surveillance Video Synopsis in GIS
    Xie, Yujia
    Wang, Meizhen
    Liu, Xuejun
    Wu, Yiguang
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 6 (11)
  • [6] Clustered Synopsis of Surveillance Video
    Pritch, Yael
    Ratovitch, Sarit
    Hendel, Avishai
    Peleg, Shmuel
    AVSS: 2009 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, 2009, : 195 - 200
  • [7] Online Surveillance Video Synopsis
    Huang, Chun-Rong
    Chen, Hsing-Cheng
    Chung, Pau-Choo
    2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012), 2012, : 1843 - 1846
  • [8] Surveillance video synopsis in the compressed domain for fast video browsing
    Wang, Shi-zheng
    Wang, Zhong-yuan
    Hu, Rui-min
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2013, 24 (08) : 1431 - 1442
  • [9] Spherical video synopsis generation and visualization framework
    Priyadharshini, S.
    Mahapatra, Ansuman
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (03) : 4501 - 4516
  • [10] Graph coloring based surveillance video synopsis
    He, Yi
    Gao, Changxin
    Sang, Nong
    Qu, Zhiguo
    Han, Jun
    NEUROCOMPUTING, 2017, 225 : 64 - 79