MIT researchers have created a way to reduce Wi-Fi stream buffering on highly populated networks. The researchers were from MIT's Computer Science and Artificial Intelligence Laboratory, CSAIL. The improved stream buffering system is titled Minerva, and it is able to analyze content before its played to identify what quality they can be played at. Minerva is also able to take information from videos that are offline, to see if more bandwidth is needed. In short, the system is able to analyze video content to better allocate bandwidth.
During tests of the system, it was able to lower buffering times by approximately one half. In a third of cases, it was also able to improve the video quality. The system is ideally suited to improve streaming services.
Buffer-Reducing Technology
MIT Researchers Created Minerva to Reduce Slow Stream Buffering
Trend Themes
1. Buffer-reducing Technology - New advancements in buffer-reducing technology can greatly improve video streaming on highly populated networks.
2. Content Analysis - The use of content analysis in Minerva can lead to opportunities for new content analysis and allocation technologies.
3. Offline Analysis - Minerva's ability to analyze offline video could pave the way for more efficient offline data analysis and allocation systems.
Industry Implications
1. Technology - The technology industry has great potential to benefit from Minerva's buffer-reducing advancements.
2. Media and Entertainment - Minerva's ability to improve video streaming services makes it a disruptive innovation opportunity for the media and entertainment industry.
3. Data Analysis - Minerva's content analysis capabilities could disrupt the data analysis industry and lead to new allocation technologies.