Deep learning algorithms could secure the future of 4K streaming
0Deep learning algorithms could secure the future of 4K streaming.
If you click out of a YouTube video when it fails to buffer, you’re not alone. With recent research suggesting that nearly 70 percent of web content is streaming video and audio, whether a stream has to buffer or not is more important than ever. Luckily, researchers at MIT are breaking new ground with AI-powered streaming algorithms that could spell the death of the buffer wheel and bring us boldly into the future of video streaming.
Video streaming has exploded over the past five years. Streaming giants like Netflix, Amazon, Google, and Hulu are pouring resources into their original and licensed streaming content in an attempt to win audiences over from traditional TV networks. And the bet is working; consumers continue to leave their high-priced cable contracts to go with streaming options.
With a potentially massive chunk of the entertainment industry on the table, these services are investing in solving what researchers are calling “the video problem.” Streaming is heavily taxing on internet bandwidth, and audiences have increasingly lower tolerances for annoying pixelation, buffering, stalled videos, and long load times. If a video stalls out, audiences are more likely than ever to simply click away.