method,” he tells us. “Our performance matches the current state-of-the-art method proposed in CVPR last year. At the same time, our method can control the bit rate with a single model. It’s a very good result.” Thinking about next steps, Shoma would like to add even more controllability to the model by incorporating Region of Interest (ROI) coding. This feature enables pixel-level compression control, allowing users to prioritize the quality of specific regions of the image, a crucial advancement for practical applications. “For example, if there are three people in a picture, in most cases, the quality of the people is important, but the quality of the background isn’t as much,” he says. “We can maintain the high quality with the three people’s regions and reduce the data size of the background.” Shoma reveals his interest in image compression stemmed from an undergraduate class on image processing, where the details of JPEG compression were explained. JPEG is the most common image compression technique, with quality 4 DAILY WACV Friday Oral Presentation
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