![]() No estimate of time remaining for a scan is given after it has started. Processing speed for image similarity is moderate: about 5 images/sec. Differences in program performance on the test image pair indicate that they use different algorithms.Īll of the above pairs of images above would be rated as very similar by a human viewer but are not by the similarity algorithm. ![]() The process is simple, but compute-intensive and slow: matching 1300 photos took 13 minutes on a medium spec laptop. The proportion of these 225 pixels which match are used to determine the similarity. However, one that does (dupeGuru) works by creating a very low resolution 15 x 15-pixel version of each input image and comparing pixel color components. There are many possible algorithms for detecting similarity in photos and most software does not give any detail of how it operates. Document management systems address this issue with their check in/check out facility, but they are not universally deployed, and even if they are available, users may not make use of them. “You didn’t pick up my changes!” is a frequent accusation in this situation. Collaborative authoring is very common within organizations and there are often difficulties in finding the latest version of a collaboratively authored document before it is released outside the organization.
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