Pre-Grant Publication Number: 20100257202
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LATEST PRIOR ART
| Date | Title | Reviewer |
|---|---|---|
| 01/31/11 | Multimedia Search with Pseudo-relevance Feedback | David Konopnicki |
| 01/13/11 | Boosting Image Retrieval | Christopher Ilardi |
| 01/07/11 | Image Classification and Search; | Timothy Myers |
| 01/07/11 | Visual and multi-dimensional search | Timothy Myers |
DISCUSSION
Michael Clarke (over 2 years ago)
Well, keyword extraction from a source and the automatic construction of a query from those keywords is nothing new - http://www.eso.org/sci/libraries/lisa3/poincotp.html - that's a paper from 1998 comparing a couple of systems, so what's the innovation here? Visual words don't appear to be new, so is the claim just for the recasting of the query such that it eliminates keywords common to backgrounds in its training database? (claim 6).
cpi admin (over 2 years ago)
If you know of any publications or examples please post in the prior art section. After the application's time on P2P has expired, patent examiners are only forwarded submitted prior art and annotations. Norbert Fuhr (over 2 years ago)
The basic idea is pseudo relevance feedback (claims 1-3), combined with a poor man's version of learning to rank (4-9), and they also apply that to tagged images.
So there is zero invention
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