APSIPA Forum on Intelligent Low-Complexity, Low-Power Visual Signal Processing Systems

Date: December 1 (Thursday), 2022
Time: 15:30 – 16:30 Taiwan (UTC+8); 08:30 – 09:30 Germany (UTC+1)
Moderator: Prof. Kun-Chih Chen (NSYSU, Taiwan)
Speakers: Prof. Wen-Hsiao Peng (NYCU, Taiwan); Prof. Heming Sun (Waseda Univ., Japan); Dr. Christian Herglotz (FAU, Germany)
Organizer: Prof. Wen-Hsiao Peng (NYCU, Taiwan)

This APSIPA forum organized by APSIPA Taiwan Local Chapter aims to raise the awareness of the complexity and practicality issues of visual signal processing systems. The last few years witnessed the explosive grow of artificial intelligence-based visual signal processing systems. Much research effort was invested to demonstrate the full potential of learning-based and/or hand crafted techniques. As algorithms with high accuracy and high performance are becoming exceedingly more complex, it is time to consider their hidden aspects, particularly from the perspectives of Algorithm/Architecture Co-exploration, in order to facilitate low-complexity and low-power designs. Taking video coding and streaming technologies as examples, this forum invites three honorable speakers to share their views on the practicality issues of learned image/video compression, the real-time FPGA implementation for learned image codecs, and energy-efficient video streaming.

Schedule Detail (15:30 – 16:30, Taiwan)
15:30 – 15:33 Opening Remarks
15:33 – 15:50 Towards Practical Learned Image and Video Compression by Prof. Wen-Hsiao Peng
15:50 – 16:10 Real-time Learned Image Codec on FPGA by Prof. Heming Sun
16:10 – 16:30 Energy Optimizations in Client-Side Video Streaming by Dr. Christian Herglotz


Join Zoom Meeting: https://bit.ly/3OzaioQ
Meeting ID: 842 6724 0336
Passcode: 830434