Video search engines fail most of the time because they rely upon people to tag keywords of things that appear in the video. Over at Videosurf.com, you’ll be able to find a groundbreaking video search engine that lets you search for results in a more visual way. It is launching a beta search engine at TechCrunch50 in San Francisco. San Mateo, Calif.-based VideoSurf told the Los Angeles Times its technology can scan frame-by-frame and identify specific people within video, rather than just searching associated text tags or other metadata, like other video search tools. The site calls its new search visualization “computer vision”. The VideoSurf search engine can recognize faces and group videos of celebrities and other people much more deftly than normal engines can. It displays a series of thumbnail frames from various scene transitions in the video to show the user exactly what is contained in the video.

It blends a mix of technologies so that it’s not only able to recognize who or what is in an image, but also to break down a video by frame and classify the frames by topic. As such, it takes on a host of competitors, from CastTV to Blinkx and Like.com, all off which have pushed forward on assorted variations of these features. You can also filter search results by video source, or category (for example, TV, movies, news, or entertainment). On the whole, if you are looking for a more interactive way to search and watch videos online, then don’t even bother looking for something different than Videosurf.com.

Saturday, September 13th, 2008 at 2:41 pm | by Kur-nia-one |