video surveillance algorithm

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Hi. I am akshata. I am a computer engineer.

we present a novel fast video search algorithm for large video database.
This algorithm is based on the adjacent pixel intensity difference quantization (APIDQ) algorithm, which had been reliably applied to human face recognition previously. An APIDQ histogram is utilized as the feature vector of the frame image. Combined with active search, a temporal pruning algorithm, fast and robust video search can be achieved.
The proposed search algorithm has been evaluated by 6 hours of video to search for given 1 video clips which having length starting from 10 min to 30 min. Experimental results show the proposed algorithm can detect the similar video clip in merely 80 ms.

Posted 2-Aug-11 2:56am

jyoti87

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OriginalGriff · Answer 1 · 2011-08-02T03:49:00

Solution 1

And what does this have to do with anything?
You appear to have cut this out of a web page, without actually reading it, if you other questions are any guide.
Voted: 1.

Posted 2-Aug-11 3:49am

OriginalGriff