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The distance of the webpage image signature is computed using EMD.
When employing such features to describe the image, we get a more abstract image signature.
A histogram of the local descriptors is called image signature in this context.
Second, image matching results based on three image signature representations are fused, which enhances the retrieval precision.
They are carried out in the stages of image signature generation, image matching, and final scoring list, respectively.
For the verification of the image signature, the control station computes the hash sum for every incoming frame and stores it in a local cache.
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Image signatures used hereby are classic models.
However, such signatures may not be so effective to describe image signatures working with local features.
Fig. 2 Proposed fusion framework embedded with the proposed image signatures.
Created in collaboration with Dartmouth College, PhotoDNA creates a signature for each image, which allows it to be compared with other image signatures to detect copies.
The visual content of each image is represented by image signatures built from various image features [18].
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