skip to main content
10.1145/3123266.3123315acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
research-article

Sports VR Content Generation from Regular Camera Feeds

Published:19 October 2017Publication History

ABSTRACT

With the recent availability of commodity Virtual Reality (VR) products, immersive video content is receiving a significant interest. However, producing high-quality VR content often requires upgrading the entire production pipeline, which is costly and time-consuming. In this work, we propose using video feeds from regular broadcasting cameras to generate immersive content. We utilize the motion of the main camera to generate a wide-angle panorama. Using various techniques, we remove the parallax and align all video feeds. We then overlay parts from each video feed on the main panorama using Poisson blending. We examined our technique on various sports including basketball, ice hockey and volleyball. Subjective studies show that most participants rated their immersive experience when viewing our generated content between Good to Excellent. In addition, most participants rated their sense of presence to be similar to ground-truth content captured using a GoPro Omni 360 camera rig.

References

  1. Aseem Agarwala, Maneesh Agrawala, Michael Cohen, David Salesin, and Richard Szeliski. 2006. Photographing Long Scenes with Multi-viewpoint Panoramas. ACM Transactions on Graphics (TOG'06) Vol. 25, 3 (2006), 853--861. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Robert Anderson, David Gallup, Jonathan T Barron, Janne Kontkanen, Noah Snavely, Carlos Hernández, Sameer Agarwal, and Steven M Seitz. 2016. Jump: virtual reality video. ACM Transactions on Graphics (TOG'16) Vol. 35, 6 (2016), 198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Florian Angehrn, Oliver Wang, Yaugiz Aksoy, Markus Gross, and Aljovsa Smolić. 2014. MasterCam FVV: Robust registration of multiview sports video to a static high-resolution master camera for free viewpoint video Proc. of the International Conference on Image Processing (ICIP'14). Paris, France, 3474--3478.Google ScholarGoogle Scholar
  4. Matthew Brown and David G Lowe. 2007. Automatic panoramic image stitching using invariant features. International journal of computer vision Vol. 74, 1 (2007), 59--73. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. ITU-R BT.500-13. 2012. Methodology for the subjective assessment of the quality of television pictures. International Telecommunication Union, Geneva, Switzerland.Google ScholarGoogle Scholar
  6. Kiana Calagari, Mohamed Elgharib, Piotr Didyk, Alexandre Kaspar, Wojciech Matusik, and Mohamed Hefeeda. 2015. Gradient-based 2D-to-3D Conversion for Soccer Videos Proc. of the ACM Multimedia Conference (MM'15). Brisbane, Australia, 331--340. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Peter Carr, Yaser Sheikh, and Iain Matthews. 2012. Point-less Calibration: Camera Parameters from Gradient-based Alignment to Edge Images Proc. of IEEE Workshop on the Applications of Computer Vision (WACV '12). Breckenridge, CO, 377--384. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Che-Han Chang, Yoichi Sato, and Yung-Yu Chuang. 2014. Shape-Preserving Half-Projective Warps for Image Stitching Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'14). Columbus, OH, 3254--3261. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Chun-Ming Chang, Cheng-Hsin Hsu, Chih-Fan Hsu, and Kuan-Ta Chen. 2016. Performance Measurements of Virtual Reality Systems: Quantifying the Timing and Positioning Accuracy. In Proc. of the ACM Multimedia Conference (MM '16). Amsterdam, The Netherlands, 655--659. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Tarek El-Ganainy and Mohamed Hefeeda. 2016. Streaming virtual reality content. CoRR, Vol. abs/1612.08350 (2016).Google ScholarGoogle Scholar
  11. Facebook. 2017. Surround 360. (2017). https://facebook360.fb.com/facebook-surround-360/Google ScholarGoogle Scholar
  12. Christoph Fehn, Christian Weissig, Ingo Feldmann, Markus Muller, Peter Eisert, Peter Kauff, and Hans BloB. 2006. Creation of High-Resolution Video Panoramas of Sport Events Proc. of the International Symposium on Multimedia (ISM'06). San Diego, CA, 291--298. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. FIFA Women's World Cup. 2015. FIFA TV broadcast production plan for FIFA Women's World Cup Canada 2015. (2015). http://resources.fifa.com/mm/document/tournament/competition/02/59/16/21/tvproductionbackgroundpaper_en_neutral.pdfGoogle ScholarGoogle Scholar
  14. Martin A. Fischler and Robert C. Bolles. 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM Vol. 24, 6 (1981), 381--395. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Fujii Laboratory at Nagoya University. 2017. Nagoya University Multi-view Sequences Download List. (2017). http://www.fujii.nuee.nagoya-u.ac.jp/multiview-data/Google ScholarGoogle Scholar
  16. Junhong Gao, Seon Joo Kim, and Michael S Brown. 2011. Constructing image panoramas using dual-homography warping Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11). Colorado Springs, CO, 49--56. and, Vamsidhar Reddy Gaddam, Marius Tennøe, Espen Helgedagsrud, Mikkel Næss, Henrik Kjus Alstad, Carsten Griwodz, Pål Halvorsen, and Dag Johansen. 2014. Processing Panorama Video in Real-time. International Journal of Semantic Computing, Vol. 8, 2 (2014), 209--227. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Ryo Suenaga, Kazuyoshi Suzuki, Tomoyuki Tezuka, Mehrdad Panahpour Tehrani, Keita Takahashi, and Toshiaki Fujii. 2015. A practical implementation of free viewpoint video system for soccer games Proc. of the SPIE Three-Dimensional Image Processing, Measurement, and Applications. San Francisco, CA, 93930G1--93930G8.Google ScholarGoogle Scholar
  18. Masayuki Tanaka, Ryo Kamio, and Masatoshi Okutomi. 2012. Seamless image cloning by a closed form solution of a modified poisson problem Proc. of the ACM SIGGRAPH Asia Posters (SA'12). Singapore, 15. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Daniel Wagner, Alessandro Mulloni, Tobias Langlotz, and Dieter Schmalstieg. 2010. Real-time panoramic mapping and tracking on mobile phones Proc. of the IEEE Virtual Reality Conference (VR'10). Waltham, MA, 211--218. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Changchang Wu. 2011. VisualSFM: A Visual Structure from Motion System. http://ccwu.me/vsfm/. (2011).Google ScholarGoogle Scholar
  21. Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S Brown, and David Suter. 2014. As-Projective-As-Possible Image Stitching with Moving DLT. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI'14), Vol. 36, 7 (2014), 1285--1298. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Alireza Zare, Alireza Aminlou, Miska M. Hannuksela, and Moncef Gabbouj. 2016. HEVC-compliant Tile-based Streaming of Panoramic Video for Virtual Reality Applications Proc. of the ACM Multimedia Conference (MM'16). Amsterdam, The Netherlands, 601--605. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Guofeng Zhang, Yi He, Weifeng Chen, Jiaya Jia, and Hujun Bao. 2016. Multi-Viewpoint Panorama Construction With Wide-Baseline Images. IEEE Transactions on Image Processing Vol. 25, 7 (2016), 3099--3111.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Sports VR Content Generation from Regular Camera Feeds

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • 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

        Copyright © 2017 ACM

        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 19 October 2017

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        MM '17 Paper Acceptance Rate189of684submissions,28%Overall Acceptance Rate995of4,171submissions,24%

        Upcoming Conference

        MM '24
        MM '24: The 32nd ACM International Conference on Multimedia
        October 28 - November 1, 2024
        Melbourne , VIC , Australia

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader