h1

% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{Blser:794413,
      author       = {Bläser, Max Daniel Carl},
      othercontributors = {Ohm, Jens-Rainer and Schwarz, Heiko},
      title        = {{P}rediction and parameter coding for non-rectangular block
                      partitioning},
      volume       = {22},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Düren},
      publisher    = {Shaker Verlag},
      reportid     = {RWTH-2020-07626},
      isbn         = {978-3-8440-7455-0},
      series       = {Aachen series on multimedia and communications engineering},
      pages        = {xvi, 241 Seiten : Illustrationen, Diagramme},
      year         = {2020},
      note         = {Zweitveröffentlicht auf dem Publikationsserver der RWTH
                      Aachen University; Dissertation, RWTH Aachen University,
                      2020},
      abstract     = {In the first half of 2019, digital video data was reported
                      to make up $60\%$ of the total downstream volume of traffic
                      on the internet. With new, bandwidth-intensive video
                      applications on the rise, such as immersive video or
                      cloud-based gaming, and established applications moving to
                      increased spatial and temporal resolution, the need to
                      compress the video data with higher efficiency is evident. A
                      fundamental principle in modern video coding is the
                      segmentation of every picture into rectangular blocks of
                      pixels. The available methods of prediction and coding of a
                      video coding scheme are then applied to these blocks
                      individually. This thesis proposes non-rectangular block
                      partitioning as an additional coding tool, to better adapt
                      to the underlying signal characteristics. A specific variant
                      of non-rectangular block partitioning is called geometric
                      block partitioning. In this scheme, a rectangular block is
                      partitioned by a straight line into two segments. The pixels
                      associated with each segment are then predicted using motion
                      compensation techniques. The main contribution is a fully
                      developed, low-complexity geometric block partitioning
                      coding tool (GEO) that provides up to $1\%$ of improved
                      coding efficiency on top of the state-of-the-art, without
                      significantly increasing the decoding runtime. It is
                      particularly useful for coding natural, moving video content
                      with distinct object boundaries (people, cars, or animals),
                      as well as for coding of screen content. GEO has been
                      presented to the Joint Video Experts Team (JVET) of ISO/IEC
                      JTC1/SC29/WG11 (MPEG) and ITU-T SG 16 (VCEG), the world's
                      leading standardization group for video coding technology,
                      and has been accepted into the working draft of its newest
                      video coding standard in development, Versatile Video Coding
                      (VVC).},
      cin          = {613210},
      ddc          = {621.3},
      cid          = {$I:(DE-82)613210_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2020-07626},
      url          = {https://publications.rwth-aachen.de/record/794413},
}