⇄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 (4)
• Contents (4)

• name
  link
  intern
  personenkennziffer
  0
  Shabhrish Uddehal
  true
  1
  Tilo Strutz
  https://www.hs-coburg.de/personen/prof-dr-tilo-strutz/
  true
  2
  Hannah Och
  false
  3
  André Kaup
  false
  

• ⇄⧉0 => array (4)

  $post['autoren'][0]

  ⇄name => string (17) "Shabhrish Uddehal"

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

  ⇄link => string (0) ""

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

  ⇄intern => boolean true

  $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 => string (10) "Hannah Och"

  $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']

  ⇄⧉3 => array (4)

  $post['autoren'][3]

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

  $post['autoren'][3]['name']

  ⇄link => string (0) ""

  $post['autoren'][3]['link']

  ⇄intern => boolean false

  $post['autoren'][3]['intern']

  ⇄personenkennziffer => string (0) ""

  $post['autoren'][3]['personenkennziffer']

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23), 4-10 June 2023, Rhodes Island, Greece

<p>In recent years, it has been found that screen content images (SCI) can be effectively compressed based on appropriate probability modelling and suitable entropy coding methods such as arithmetic coding. The key objective is determining the best probability distribution for each pixel position. This strategy works particularly well for images with synthetic (textual) content. However, usually screen content images not only consist of synthetic but also pictorial (natural) regions. These images require diverse models of probability distributions to be optimally compressed. One way to achieve this goal is to separate synthetic and natural regions. This paper proposes a segmentation method that identifies natural regions enabling better adaptive treatment. It supplements a compression method known as Soft Context Formation (SCF) and operates as a pre-processing step. If at least one natural segment is found within the SCI, it is split into two subimages (natural and synthetic parts) and the process of modelling and coding is performed separately for both. For SCIs with natural regions, the proposed method achieves a bit-rate reduction of up to 11.6% and 1.52% with respect to HEVC and the previous version of the SCF.<br></p>

Uddehal, Shabhrish; Strutz, Tilo; Och, Hannah; Kaup, André (2023): Image Segmentation for Improved Lossless Screen Content Compression. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23), 4-10 June 2023, Rhodes Island, Greece 2023.

https://www.hs-coburg.de/publikation/3493-image-segmentation-for-improved-lossless-screen-content-compression/