Michael Dunn, CTO of Hearst Media has been quoted saying, “Video, in its native form, is a blob of content… and it’s hard to extract data from it.” Thankfully, semantic technologies are starting to take video “beyond the blob,” and that is precisely what panelists at the upcoming Semantic Technology and Business Conference in San Francisco will discuss.

The panel discussion Beyond the Blob: Semantic Video’s Coming of Age is set to begin at 2:25 on Monday, June 3 at SemTechBiz and will feature a panel of semantic web professionals with a broad range of experience regarding semantic video. The panel will be moderated by Kristen Milhollin, Project Lead & Founder of GoodSpeaks.org, an organization aimed at creating a nonprofit media and data distribution network that increases public awareness and support of the work done by nonprofit and other charitable organizations.  Read more

According to an article out of the company, Jinni launched a “radically new NLU (natural language understanding) discovery engine to power the first voice-activated video guides that understand natural human language. Until now, the voice-activated TV experience was limited to basic commands because that was all the guide could process. The Jinni NLU engine leverages the company’s unique Entertainment Genome™ to interpret natural human speech and derive the underlying meaning to enable rich, intuitive interaction between users and their TVs.  Now users will be able to simply tell their TV what they are in the mood to watch and Jinni will find the most fitting content from live TV, VOD and any other available video catalog.” Read more

A video on YouTube is educating viewers about “Making Video Search Semantic with Semex and Media Globe.” According to the video description, “Semantic search for multimedia is a problem every video site would like to solve. Imagine being able to search for a person and getting results for every video they appear in, without needing a text description included underneath. Or trying to locate every video posted about a specific location. Or getting the context of several videos all about baseball or your favorite movie character.” Read more