Kaltura Meetup on Nov 10th, 2009 :: 1:08:46 to 1:10:38
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0:51:00 to 1:11:17( Edit History Discussion )
Title: Group discussion

A give–and–take discussion about technology relating to open video.

1:07:22 to 1:08:46( Edit History Discussion )

Shay David: Absolutely. We have someone working on tools like that. A really good example of this stuff is actually quite successful which is RemixAmerica.org, you can check it out. That's a site that Kaltura has developed for over a year. People for the American Way is a left–wing organization with a right–wing name, it's actually very liberal. Norman [Manasa] owns a copy of the constitution, that's the type of person he is, and rumor is he lost it, like one of the only copies left. He's very into this notion of democratizing media, the notion of "we're losing a whole generation here of people that don't have access to the moon landing or the JFK assassination and Martin Luther King movement" that some of us in this room are old enough to remember. With more and more tools, in the age of the radio, at least that's what we hear from our (grand-)parents, they remember listening to this, and things like the moon landing are very visual experiences. Remix America is a site that takes that and uses classic text, visual text material from American encyclopedias and allow people to remix that. It's interesting to see how people are co-opting it and using it. That summer in Chicago, for example, in a media camp there was a summer camp for people learning film–making, and they used the Remix America's platform as a learning tool. So absolutely yes.

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.

1:10:38 to 1:10:58( Edit History Discussion )

Audience: I know this is a little far–fetched, but with the way a lot of the facial recognition is with pictures today that's just starting, and you're able to tag around the picture, do you think there will be a time when we can tag around items on the video? Soon?

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