Researchers at the University are working to perfect a computer algorithm designed to summarize first-person perspective films, with the hope of aiding the elderly and memory-impaired.
With video sharing expected to leap, researchers at the University of Texas are training computers to digest such videos into a nutshell version for easier viewing.
Computer scientists at The University of Texas at Austin say that a day will come when computers will automatically give short video digests of a day in our lives, kind of like a video journal.
The race is on to develop tools to help sift through the vast quantities of video that are being produced by wearable camera technology like Google Glass and Looxcie.
The researchers are working to develop tools to help make sense of the vast quantities of video that are going to be produced by wearable camera technology like Google Glass and Looxcie.
UTCS Professor, Don Batory and CEO of RockYou, Lance Tokudo won the Most Influential Paper Award.
Finding new gene-disease connections the Facebook way: ICES researcher Inderjit Dhillon and Edward Marcotte use social networking inspired methods to predict disease genes
Inderjit Dhillon, an ICES core faculty member, and professor of computer science, received the 2013 ICES Distinguished Research Award.
UTCS's AI group enjoyed considerable success at this summer's conferences.
The University of Texas at Austin Department of Computer Science (UTCS) collaborated with Facebook and 12 universities from Europe, China and the United States to provide practical, collaborative software engineering experience as part of its computer science curriculum.
Kristen Grauman has earned the 2013 Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award. The award is given to a researcher within seven years of their Ph.D.