Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2008-03-24
2011-10-04
Werner, Brian (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S263000, C382S305000
Reexamination Certificate
active
08031947
ABSTRACT:
Techniques for managing video stream data and portions of video stream data are disclosed. In particular, the present invention enables the user to match portions of video streams against stored, previously characterized video streams using Canny edge detection filtering coupled with Hu invariant third moments of those edges. According to one aspect of the present invention, the video stream data is encoded with the following technique, which selects specific frames from the video stream, finds the edges of objects within these selected frames using Canny edge detection, separates each edge into a distinct object, calculates Hu invariant third moments for each edge, and stores each edge together with the video stream and frame identification and it's Hu invariant third moments in a database for later comparison. Similar encoding can then be performed for a query video stream to compare against the previously identified video streams stored in the database to identify a unique video stream. It is emphasized that the present invention applies to video stream data but can also be used for imagery data in any other form or taken in any spectrum.
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Mohamed Rizon et al., Object Detection using Geometric Invariant Moment, American Journal of Applied Sciences 2(6), pp. 1876-1878, year 2006.
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