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[Author] Jun Young JEONG(2hit)

1-2hit
  • Efficient Patch Merging for Atlas Construction in 3DoF+ Video Coding

    Hyun-Ho KIM  Sung-Gyun LIM  Gwangsoon LEE  Jun Young JEONG  Jae-Gon KIM  

     
    LETTER-Image Processing and Video Processing

      Pubricized:
    2020/12/14
      Vol:
    E104-D No:3
      Page(s):
    477-480

    The emerging three degree of freedom plus (3DoF+) video provides more interactive and deep immersive visual experience. 3DoF+ video introduces motion parallax to 360 video providing omnidirectional view with limited changes of the view position. A large set of views are required to support such 3DoF+ visual experience, hence it is essential to compress a tremendous amount of 3DoF+ video. Recently, MPEG is developing a standard for efficient coding of 3DoF+ video that consists of multiple videos, and its test model named Test Model for Immersive Video (TMIV). In the TMIV, the redundancy between the input source views is removed as much as possible by selecting one or several basic views and predicting the remaining views from the basic views. Each unpredicted region is cropped to a bounding box called patch, and then a large number of patches are packed into atlases together with the selected basic views. As a result, multiple source views are converted into one or more atlas sequences to be compressed. In this letter, we present an improved clustering method using patch merging in the atlas construction in the TMIV. The proposed method achieves significant BD-rate reduction in terms of various end-to-end evaluation metrics in the experiment, and was adopted in TMIV6.0.

  • Wider Depth Dynamic Range Using Occupancy Map Correction for Immersive Video Coding

    Sung-Gyun LIM  Dong-Ha KIM  Kwan-Jung OH  Gwangsoon LEE  Jun Young JEONG  Jae-Gon KIM  

     
    LETTER-Image Processing and Video Processing

      Pubricized:
    2023/02/10
      Vol:
    E106-D No:5
      Page(s):
    1102-1105

    The MPEG Immersive Video (MIV) standard for immersive video coding provides users with an immersive sense of 6 degrees of freedom (6DoF) of view position and orientation by efficiently compressing multiview video acquired from different positions in a limited 3D space. In the MIV reference software called Test Model for Immersive Video (TMIV), the number of pixels to be compressed and transmitted is reduced by removing inter-view redundancy. Therefore, the occupancy information that indicates whether each pixel is valid or invalid must also be transmitted to the decoder for viewport rendering. The occupancy information is embedded in a geometry atlas and transmitted to the decoder side. At this time, to prevent occupancy errors that may occur during the compression of the geometry atlas, a guard band is set in the depth dynamic range. Reducing this guard band can improve the rendering quality by allowing a wider dynamic range for depth representation. Therefore, in this paper, based on the analysis of occupancy error of the current TMIV, two methods of occupancy error correction which allow depth dynamic range extension in the case of computer-generated (CG) sequences are presented. The experimental results show that the proposed method gives an average 2.2% BD-rate bit saving for CG compared to the existing TMIV.