⇄term_id => integer 836

$post['veroeffentlichungsart']['term_id']

⇄name => string (46) "Beitrag zu wissenschaftlicher Konferenz/Tagung"

$post['veroeffentlichungsart']['name']

⇄slug => string (50) "417_beitrag-zu-wissenschaftlicher-konferenz-tagung"

$post['veroeffentlichungsart']['slug']

⇄term_group => integer 0

$post['veroeffentlichungsart']['term_group']

⇄term_taxonomy_id => integer 836

$post['veroeffentlichungsart']['term_taxonomy_id']

⇄taxonomy => string (21) "veroeffentlichungsart"

$post['veroeffentlichungsart']['taxonomy']

⇄description => string (0) ""

$post['veroeffentlichungsart']['description']

⇄parent => integer 0

$post['veroeffentlichungsart']['parent']

⇄count => integer 198

$post['veroeffentlichungsart']['count']

⇄filter => string (3) "raw"

$post['veroeffentlichungsart']['filter']

⇄term_id => integer 898

$post['forschungsschwerpunkt']['term_id']

⇄name => UTF-8 string (60) "HRK Schwerpunkt Nachhaltige Mobilitäts- und Energiekonzepte"

$post['forschungsschwerpunkt']['name']

⇄slug => string (63) "156_hrk-schwerpunkt-nachhaltige-mobilitaets-und-energiekonzepte"

$post['forschungsschwerpunkt']['slug']

⇄term_group => integer 0

$post['forschungsschwerpunkt']['term_group']

⇄term_taxonomy_id => integer 898

$post['forschungsschwerpunkt']['term_taxonomy_id']

⇄taxonomy => string (21) "forschungsschwerpunkt"

$post['forschungsschwerpunkt']['taxonomy']

⇄description => string (0) ""

$post['forschungsschwerpunkt']['description']

⇄parent => integer 0

$post['forschungsschwerpunkt']['parent']

⇄count => integer 45

$post['forschungsschwerpunkt']['count']

⇄filter => string (3) "raw"

$post['forschungsschwerpunkt']['filter']

• Table (3)
• Contents (3)

• name
  link
  intern
  personenkennziffer
  0
  Hannah Och
  false
  1
  Tilo Strutz
  https://www.hs-coburg.de/personen/prof-dr-tilo-strutz/
  true
  2
  André Kaup
  false
  

• ⇄⧉0 => array (4)

  $post['autoren'][0]

  ⇄name => string (10) "Hannah Och"

  $post['autoren'][0]['name']

  ⇄link => string (0) ""

  $post['autoren'][0]['link']

  ⇄intern => boolean false

  $post['autoren'][0]['intern']

  ⇄personenkennziffer => string (0) ""

  $post['autoren'][0]['personenkennziffer']

  ⇄⧉1 => array (4)

  $post['autoren'][1]

  ⇄name => string (11) "Tilo Strutz"

  $post['autoren'][1]['name']

  ⇄link => string (54) "https://www.hs-coburg.de/personen/prof-dr-tilo-strutz/"

  $post['autoren'][1]['link']

  ⇄intern => boolean true

  $post['autoren'][1]['intern']

  ⇄personenkennziffer => string (0) ""

  $post['autoren'][1]['personenkennziffer']

  ⇄⧉2 => array (4)

  $post['autoren'][2]

  ⇄name => UTF-8 string (11) "André Kaup"

  $post['autoren'][2]['name']

  ⇄link => string (0) ""

  $post['autoren'][2]['link']

  ⇄intern => boolean false

  $post['autoren'][2]['intern']

  ⇄personenkennziffer => string (0) ""

  $post['autoren'][2]['personenkennziffer']

Optimization of Probability Distributions for Residual Coding of Screen Content

<p>Probability distribution modeling is the basis for most competitive methods for lossless coding of screen content. One such state-of-the-art method is known as soft context formation (SCF). For each pixel to be encoded, a probability distribution is estimated based on the neighboring pattern and the occurrence of that pattern in the already encoded image. Using an arithmetic coder, the pixel color can thus be encoded very efficiently, provided that the current color has been observed before in association with a similar pattern. If this is not the case, the color is instead encoded using a color palette or, if it is still unknown, via residual coding. Both palette-based coding and residual coding have significantly worse compression efficiency than coding based on soft context formation. In this paper, the residual coding stage is improved by adaptively trimming the probability distributions for the residual error. Furthermore, an enhanced probability modeling for indicating a new color depending on the occurrence of new colors in the neighborhood is proposed. These modifications result in a bitrate reduction of up to 2.9% on average. Compared to HEVC (HM-16.21 + SCM-8.8) and FLIF, the improved SCF method saves on average about 11% and 18% rate, respectively.<br></p>

Och, Hannah; Strutz, Tilo; Kaup, André (2021): Optimization of Probability Distributions for Residual Coding of Screen Content. VCIP 2021, Munich, 5-8 December 2021. DOI: 10.1109/VCIP53242.2021.9675326

https://www.hs-coburg.de/publikation/3352-optimization-of-probability-distributions-for-residual-coding-of-screen-content/