parameters to control the compressed data size. The statistical analysis and engineering work behind it and the implementation of standard techniques and widespread application fascinated him. So much so that he chose image compression as his research topic when he started work as a graduate student. How does he feel now that he is about to present his work at this prestigious conference? No mean feat when you consider that not only was his paper chosen from thousands to be part of the event, but it was also picked to be one of a limited number of orals on the agenda. “That’s a good question, and frankly, I’m so surprised!” he laughs. “Obviously, I was very happy when I heard it was accepted, and now it’s chosen as an oral presentation. If we think about the applicability, this conference is about applications of computer vision, and our method can be applied to various use cases. Of course, there are a lot of challenges to implementation in the real world, but it has high controllability and a lot of potential. I think that’s why it was chosen.” To learn more about Shoma’s work, visit Orals 2.1 [Paper 2] today at 15:00-16:00 (Naupaka). 5 DAILY WACV Friday Controlling Rate, Distortion, and Realism
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