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Quoting Brady Forrest on O'Reilly Radar:
At various times I have had to explain what a wiki is to people and I rarely do a good job. In the future I may just show them Lee & Sachi LeFever's video Wikis in Plain English. It does a really good job of explaining why and how someone would want to us a wiki. They doing a good job of keeping the vocabulary on the easily-understood side of tech. If you ever need to explain RSS they have a video for that too.
Just browsed through flickr's services, and found:
http://labs.systemone.at/retrievr
This nice litte gadget allows for retrieving photos by either sketching them or uploading a reference image. Fun, fast, and addictive ;)
Now, this is really good news: Flickr is rolling out a new feature called machine tags that allows users to be more precise in how they tag, and how they search, their photos.
Machine tags are tags that use a special syntax to define extra information about a tag; they have a namespace, a predicate and a value. The namespace defines a class or a facet that a tag belongs to ('geo', 'flickr', etc.), and the predicate is the name of the property for a namespace ('latitude', 'user', etc).
We invite anyone interested to look at
http://www.ist-nm2.org/ShapeShiftedTV-tutorial/
where we'll give an overview on non-linear, interactive movie production.
This rocks: NM2 has been on air :)
Finally, NM2 goes public: DVB-T war gestern - die Zukunft liegt im interaktiven Fernsehen. Mehr: JR-Presseaussendung ...
Reading a review of a new media service called Ookles (to be launched soon) that among other things offers facial and object recognition and an automatic organization of your photos + some kind of intelligent automatic tagging for your media, I am eager to see it working ... and might want to know what kind of technology they use?
BTW: Ookles = Flickr+Riya+YouTube ...
