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DTSTAMP:20240719T154300Z
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DESCRIPTION:This talk shall focus on contemporary visual computing research
  trends with critical implications for 6G semantic communications. Semanti
 c communication was initially proposed by Weaver and Shannon 70+ years ago
  in the early 1950s in which they outlined the classical definition of thr
 ee levels of communications: the technical problem\, the semantic problem\
 , and the effectiveness problem. Until 5G\, most researchers and practitio
 ners have been working on the first technical problem. For 6G\, semantic c
 ommunication becomes necessary to handle the overwhelming volume of visual
  data among all IP traffic. We firmly believe that a paradigm-shifting fra
 mework needs to be designed to transport the volumetric visual data under 
 the 6G mobile communication architecture. We show that recent technical ad
 vances in contemporary visual computing bear great potential for 6G semant
 ic communication. Among the volumetric visual data\, a significant portion
  of them has been acquired for machine intelligence purposes. Therefore\, 
 structured extraction and representation of the semantics from these visua
 l data are desired to facilitate the 6G semantic communication. For contem
 porary visual computing\, the well-structured scene graph generation (SGG)
  approaches have been demonstrated capable of representing compactly the l
 ogical relationship among the subjects and objects detected from the visua
 l data. We shall show that the unique capability of structured SGG can be 
 applied to 6G semantic communication towards future advances in integratin
 g visual computing with 6G.\n\n[]\n\nSpeaker(s):  Chang Wen Chen\, \n\nRoo
 m: ENG460\, Bldg: ENG building\, 245 Church Street\, Toronto\, Ontario\, C
 anada
LOCATION:Room: ENG460\, Bldg: ENG building\, 245 Church Street\, Toronto\, 
 Ontario\, Canada
ORGANIZER:hadeel.mohammad@mail.utoronto.ca
SEQUENCE:14
SUMMARY:Contemporary Visual Computing for 6G Semantic Communications
URL;VALUE=URI:https://events.vtools.ieee.org/m/425741
X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-top: 6.0pt
 \; line-height: 115%\; mso-layout-grid-align: none\; text-autospace: none\
 ;"><span lang="EN-US" style="font-size: 12pt\; line-height: 115%\; font-fa
 mily: arial\, helvetica\, sans-serif\;">This talk shall focus on contempor
 ary visual computing research trends with critical implications for 6G sem
 antic communications. Semantic communication was initially proposed by Wea
 ver and Shannon 70+ years ago in the early 1950s in which they outlined th
 e classical definition of three levels of communications: the technical pr
 oblem\, the semantic problem\, and the effectiveness problem. Until 5G\, m
 ost researchers and practitioners have been working on the first technical
  problem. For 6G\, semantic communication becomes necessary to handle the 
 overwhelming volume of visual data among all IP traffic. We firmly believe
  that a paradigm-shifting framework needs to be designed to transport the 
 volumetric visual data under the 6G mobile communication architecture. We 
 show that recent technical advances in contemporary visual computing bear 
 great potential for 6G semantic communication. Among the volumetric visual
  data\, a significant portion of them has been acquired for machine intell
 igence purposes. Therefore\, structured extraction and representation of t
 he semantics from these visual data are desired to facilitate the 6G seman
 tic communication.<span style="mso-spacerun: yes\;">&nbsp\; </span>For con
 temporary visual computing\, the well-structured scene graph generation (S
 GG) approaches have been demonstrated capable of representing compactly th
 e logical relationship among the subjects and objects detected from the vi
 sual data. We shall show that the unique capability of structured SGG can 
 be applied to 6G semantic communication towards future advances in integra
 ting visual computing with 6G.</span></p>\n<p class="MsoNormal" style="mar
 gin-top: 6.0pt\; line-height: 115%\; mso-layout-grid-align: none\; text-au
 tospace: none\;">&nbsp\;</p>\n<p class="MsoNormal" style="margin-top: 6.0p
 t\; line-height: 115%\; mso-layout-grid-align: none\; text-autospace: none
 \;"><span lang="EN-US" style="font-size: 11.0pt\; line-height: 115%\; font
 -family: 'Calibri'\,sans-serif\; mso-bidi-font-family: 'Times New Roman'\;
 "><img src="https://events.vtools.ieee.org/vtools_ui/media/display/5bba4a3
 9-17a8-4ae3-9414-8f66319f6992" alt="" width="960" height="540"></span></p>
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