報告題目： Internet of VideoThings and Applications
報告人：Professor Chang Wen Chen/The HongKong Polytechnic University
時 間：2022年4月15日下午14:30-15:30
地 點：騰訊會議649-813-345
為進一步加強學術交流，推進學科發展，提升研究生的學術水平、開闊研究生的學術視野，受伟德官网下app官方网站邀請，歐洲科學院院士、香港理工大學陳長汶教授将于4月15日下午14:30-15:30在騰訊線上會議室為伟德官网下app官方网站師生作“Internet of Video Thingsand Applications”專題報告。本次報告是我院為加強校内師生與國内外知名學者學術交流與合作舉辦的重點學術活動，也是積極響應我校建校“80周年”慶祝活動的号召，為弘揚和傳承“信達天下”的南郵精神，立足新起點。
伟德官网下app官方网站誠邀全校師生前來參會旁聽，共同聆聽、交流學術！
報告人簡介：
Chang Wen Chen is currently Chair Professor of Visual Computing at TheHong Kong Polytechnic University. Before his current position, he has served asDean of the School of Science and Engineering at The Chinese University of HongKong, Shenzhen from 2017 to 2020, and concurrently as Deputy Director at PengCheng Laboratory from 2018 to 2021. He has served as an Editor-in-Chief forT-MM (2014-2016) and T-CSVT (2006-2009) and have received many professionalachievement awards, including the prestigious Alexander von Humboldt Award in2010, SUNY Chancellor’s Award for Excellence in Scholarship and CreativeActivities in 2016, and UIUC ECE Distinguished Alumni Award in 2019. He is anIEEE Fellow, a SPIE Fellow, and a member of the Academia Europaea.
報告摘要：
The worldwide flourishing of the Internet of Things (IoT) in the pastdecade has enabled numerous new applications through the internetworking of awide variety of devices and sensors. In recent years, visual sensors have seentheir considerable booming in IoT systems because they are capable of providingricher and more versatile information. Internetworking of large-scale visualsensors has been named Internet of Video Things (IoVT). IoVT has its own uniquecharacteristics in terms of sensing, transmission, storage, and analysis, whichare fundamentally different from the conventional IoT. These newcharacteristics of IoVT are expected to impose significant challenges onexisting technical infrastructures. In this talk, an overview of recentadvances in various fronts of IoVT will be introduced and a broad range oftechnological and system challenges will be addressed. Several emerging IoVTapplications will be discussed to illustrate the potentials of IoVT in a broadrange of practical scenarios.