IOTSC Talk Series: Multi-modality Multimedia Information Analysis and Compression

Dear Colleagues and Students,
The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our IOTSC Talk Series on 31/01/2024 (Wednesday). We are pleased to invite Prof. Weiyao LIN from Shanghai Jiao Tong University as the speaker.

Multi-modality Multimedia Information Analysis and Compression
Speaker: Prof. Weiyao LIN, Professor, Department of Electronic Engineering, Shanghai Jiao Tong University
Date: 31/01/2024 (Wednesday)
Time: 10:30 – 11:30
Language: English
Venue: N21-5005

Abstract:
The rapid growth of multimedia applications has increased the importance of semantic information, such as objects’ motion, action, and property. This has led to a demand for efficient extraction and compression of semantic information. This talk will introduce works on multi-modality multimedia information analysis and compression, including object activity and interaction recognition, multi-modality multimedia analysis, and semantic information compression. The authors will present a new model for describing spatial-temporal redundancies in semantic data and design an architecture capable of compressing over 70% of semantic data.

Speaker’s Bio:
Dr. Weiyao LIN received the B.E. degree from Shanghai Jiao Tong University, China, in 2003, the M.E. degree from Shanghai Jiao Tong University, China, in 2005, and the Ph.D degree from the University of Washington, Seattle, USA, in 2010, all in electrical engineering. He is currently a Professor with the Department of Electronic Engineering, Shanghai Jiao Tong University, China. He has authored or coauthored 100+ technical papers on top journals/conferences including TPAMI, IJCV, CVPR, and ICCV. He holds 20+ patents and has 10+ under reviewing patents. His research interests include multimedia content understanding, computer vision, video/image compression, and video/image processing applications.

For enquiries: Tel: 8822 9141
Email: shirleyfong@um.edu.mo

Best Regards,
State Key Laboratory of Internet of Things for Smart City