In this Intel Chip Chat audio podcast with Allyson Klein: Don Hsi, Chairman for Viscovery, joins us live from Intel Developer Forum in San Francisco. Viscovery provides cloud based visual content recognition services with applications including contextual advertising, video search, and illegal content filtering. In this podcast, Hsi discusses how deep learning has enabled Viscovery to advance video content recognition. Hsi notes that where earlier video search engines relied on manually tagged search results, Viscovery takes video search to the next level by analyzing seven major content classes: face, image, text, audio, motion, object, and scene. Additionally, Hsi talks about the suite of technologies that make this analysis possible and how customers are already using Viscovery in the wild.

For more information on Viscovery’s work, please check out Joe Spisak’s recent Intel IT Peer Network post “Delivering Full Stack Video Analytics with Viscovery and Quanta” (http://intel.ly/2dS2O2m)

Follow Viscovery on Twitter at:
twitter.com/viscovery

Tags: Advanced Visual Search, Allyson Klein, Audio Podcast, Chip Chat, contextual advertising, deep learning, Don Hsi, Full Stack Video Analytics, IDF, illegal content filtering, Intel, Intel Developer Forum, Joe Spisak, Quanta, video content recognition, video search engines, Viscovery
 
Posted in: Audio Podcast, Intel, Intel Chip Chat, Intel Developer Forum