You may soon be able to make dramatic editing changes to photos with just a few clicks on your computer, and you also may be able to get better streaming quality of videos on your smartphone thanks to preliminary research conducted at the Volgenau School of Engineering and backed by Adobe Research.
Professors in the Department of Computer Science are working with Adobe on cutting-edge projects, and some have already conducted research the company funded.
One of the latest projects: Associate professor of computer science Jyh-Ming Lien’s team collaborated with Adobe researchers to develop a new photo-editing technique that allows people to modify their pictures to reflect different materials. For instance, the process makes it easier to turn a photo of a leather sofa into one covered in a plain or floral fabric.
Currently companies have to take photos of every version of the sofa or use a more time-consuming process to create the different images, he says. “We are using machine-learning algorithms that allow you to take an image and apply a different material to it for a new look.”
This technique could be useful to online stores and graphic artists who want to generate new images with different finishes or materials.
Meanwhile, computer science professor Songqing Chen’s research team investigated ways to improve streaming video on mobile phones. “We tried to make the media playback on the phone smoother while consuming less power,” he says.
Most internet content, including streaming video, is transmitted over HTTP/1.1, but HTTP/2 is gradually replacing HTTP 1.1 to improve user experience, Chen says. His team looked into ways to utilize the new features offered by HTTP/2 for video streaming to mobile devices.
Adobe has a list of research questions it shares with Mason Engineering researchers to form collaborations, says computer science professor Robert Simon. The company also offers internships to Mason Engineering students.
During his internship with the company last summer, Haoliang Wang, one of Simon’s PhD students, worked on a project involving storing streaming videos in the Cloud. Wang’s job was to help improve an algorithm the company developed.
November 29, 2017 / adapted from a story by Nanci Hellmich