Data-driven Visual Similarity for Cross-domain Image Matching (SIGGRAPH Asia, 2011) (HD)
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Uploaded by abhinav2610 on Oct 15, 2011
Website: http://graphics.cs.cmu.edu/projects/crossDomainMatching/
The goal of this work is to find visually similar images even if they appear quite different at the raw pixel level. This task is particularly important for matching images across visual domains, such as photos taken over different seasons or lighting conditions, paintings, hand-drawn sketches, etc. We propose a surprisingly simple method that estimates the relative importance of different features in a query image based on the notion of "data-driven uniqueness". We employ standard tools from discriminative object detection in a novel way, yielding a generic approach that does not depend on a particular image representation or a specific visual domain. Our approach shows good performance on a number of difficult cross- domain visual tasks e.g., matching paintings or sketches to real photographs. The method also allows us to demonstrate novel applications such as Internet re-photography, and painting2gps.
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Uploader Comments (abhinav2610)
All Comments (14)
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@depablo84 There is one polish guy in the team: Tomasz Malisiewicz. And everything is now clear :)
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From 3:27 there is a music Polish artist Henryk Kuzniak used in Vabank movie. :)
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Congratulations! Very good, hope to see it soon as a standalone service.
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finally something that works!
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great work
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Excellent thinking
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Awesum!!!!!
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good stuff!
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Thanks!
abhinav2610 4 months ago