Contemporary Visual Computing for 6G Semantic Communications

This talk shall focus on contemporary visual computing research trends with critical implications for 6G semantic communications. Semantic communication was initially proposed by Weaver and Shannon 70+ years ago in the early 1950s in which they outlined the classical definition of three levels of communications: the technical problem, the semantic problem, and the effectiveness problem. Until 5G, most 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 intelligence purposes. Therefore, structured extraction and representation of the semantics from these visual data are desired to facilitate the 6G semantic communication. For contemporary visual computing, the well-structured scene graph generation (SGG) approaches have been demonstrated capable of representing compactly the logical relationship among the subjects and objects detected from the visual data. We shall show that the unique capability of structured SGG can be applied to 6G semantic communication towards future advances in integrating visual computing with 6G. [] Speaker(s): Chang Wen Chen, Room: ENG460, Bldg: ENG building, 245 Church Street, Toronto, Ontario, Canada