1:08:46 to 1:10:38( Edit History Discussion )

Shay David: We are very very interested in this conversation, and trust me, I don't want to interrupt it, in exactly that next–generation level of technology, and it's a very large area. Automatic translation, transcription, subtitles, metadata extraction, phonetic indexing, visual recognition, and other technologies that could be very interesting depending on what you do, and then visual recognition. You could look at a movie and say "here's a person, and here's the background, and guess what, is that person a man or a woman?" "Guess what, we can tell the difference of a picture of Micheal Jackson in the background and the Statute of Liberty." If you start generating a stream of metadata, depending on the clarity and the types of objects that appear, it could be quite granular. You could recognize specific people if it knows that's your head, "what's the background?," so if you want to know add another data layer, you can recognize what's foreground and what's background and stuff like that. A lot of it sounds like science fiction, but already this is stuff that's very close to actually being used.

1:10:58 to 1:11:17( Edit History Discussion )

Shay David: Absolutely. We're announcing a partnership with a company called [], next Wednesday I think, and soon thereafter we will be able to continue on that. Will we be able to recognize a person? No, but we'll be able to recognize stuff like that. And once you get that, you can take it to the next level and say "we want to make that information actionable," whether it's in a commercial context like "buy the object that you see" or hover over it and get metadata, and in an educational context maybe link–through, tailor your own adventure, and like leafing through a book jumping back–and–forth.