• DocumentCode
    145154
  • Title

    Automatic 3D video detection

  • Author

    Li Yueli ; Huicheng Lian

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • Volume
    1
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    274
  • Lastpage
    277
  • Abstract
    In this paper, we propose a novel and effective method to detect whether a video is 3D Side-by-Side format or not. The proposal extracts features between left and right side of video frames for detection. We firstly obtained the difference between left and right side of video frame and adopted a threshold operation for denoising. Secondly, we introduced a ratio method to improve the low precision. Finally, some frames which meet certain conditions were chosen for decision. The experimental results indicate that our proposed method can perform well. The best performance we obtained is 2.88% for false negative rate as 3.40% for false positive rate, by using 1,800 videos for evaluation.
  • Keywords
    feature extraction; image denoising; object detection; video signal processing; 3D side-by-side format; automatic 3D video detection; false negative rate; false positive rate; feature extraction; image denoising; ratio method; threshold operation; video frame; Computers; Educational institutions; Feature extraction; Motion pictures; Noise; Noise reduction; Three-dimensional displays; 3D side-by-side format; ratio method; threshold operation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6948113
  • Filename
    6948113