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BEGIN:VEVENT
DTSTAMP:20240328T054049Z
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DTSTART;TZID=America/Los_Angeles:20240327T110000
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DESCRIPTION:The past decades have witnessed rapid growth in imaging as a ma
 jor form of communication between\nindividuals. Due to recent advances in 
 capture\, storage\, delivery\, and display technologies\, consumers\ndeman
 d improved perceptual quality while requiring reduced storage. In this con
 text\, research and\ninnovation in lossy image compression have steered to
 wards methods capable of achieving high\ncompression ratios without compro
 mising the perceived visual quality of images.\nSubjective and objective v
 isual quality assessment of images play a fundamental role in defining qua
 lity\nas perceived by human observers. Although the field of image compres
 sion is constantly evolving\ntowards efficient solutions for higher visual
  qualities\, standardized subjective visual quality assessment\nprotocols 
 are still limited to those proposed in ITU-R Recommendation BT.500 and JPE
 G AIC standards.\nSimilarly\, objective image quality metrics often exhibi
 t limited correlation with subjective quality scores\nacross various disto
 rtion types and intensities\, and little to no work has been devoted to as
 sessing the\nperformance of these metrics on images with compression artif
 acts in the high to nearly visually lossless\nquality range.\nThis talk di
 scusses the effectiveness of both subjective and objective image quality a
 ssessment methods\non coding artifacts with higher visual quality. Moreove
 r\, ongoing solutions investigated in the context of\nthe JPEG AIC activit
 y are presented.\n\nSpeaker(s): Michela Testolina\, \n\nVirtual: https://e
 vents.vtools.ieee.org/m/411480
LOCATION:Virtual: https://events.vtools.ieee.org/m/411480
ORGANIZER:zhangxpeng@gmail.com
SEQUENCE:15
SUMMARY:IEEE SPS SCV - Assessing Image Coding in the High to Nearly Visuall
 y Lossless Quality Range
URL;VALUE=URI:https://events.vtools.ieee.org/m/411480
X-ALT-DESC:Description: <br /><p>The past decades have witnessed rapid grow
 th in imaging as a major form of communication between<br>individuals. Due
  to recent advances in capture\, storage\, delivery\, and display technolo
 gies\, consumers<br>demand improved perceptual quality while requiring red
 uced storage. In this context\, research and<br>innovation in lossy image 
 compression have steered towards methods capable of achieving high<br>comp
 ression ratios without compromising the perceived visual quality of images
 .<br>Subjective and objective visual quality assessment of images play a f
 undamental role in defining quality<br>as perceived by human observers. Al
 though the field of image compression is constantly evolving<br>towards ef
 ficient solutions for higher visual qualities\, standardized subjective vi
 sual quality assessment<br>protocols are still limited to those proposed i
 n ITU-R Recommendation BT.500 and JPEG AIC standards.<br>Similarly\, objec
 tive image quality metrics often exhibit limited correlation with subjecti
 ve quality scores<br>across various distortion types and intensities\, and
  little to no work has been devoted to assessing the<br>performance of the
 se metrics on images with compression artifacts in the high to nearly visu
 ally lossless<br>quality range.<br>This talk discusses the effectiveness o
 f both subjective and objective image quality assessment methods<br>on cod
 ing artifacts with higher visual quality. Moreover\, ongoing solutions inv
 estigated in the context of<br>the JPEG AIC activity are presented.</p>
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