Yale Image Finder is a search engine for searching medical articles in PubMed Central for images. YIF is notable because it searches for text that is contained in images, many of which are charts and graphs with embedded “text” describing the data being presented. The “text” in these images, as in the example from YIF below, is converted to searchable OCR text.
What especially strikes me about this project is how similar it is to several initiatives from Google — For several years, Google has been working on image-to-text conversion in various of its facets, starting with Google Catalogs (now defunct) and Google Book Search. More recently, in 2008, several patents were published which extend the potential use of this sort of technology to a variety of possibilities, some of which include use in Google Maps street view, labels in museums and stores, and YouTube videos. Also showing Google’s continuing interest in this area is the announcement in Oct, 2008 that scanned PDF documents in Google Web Search are being converted to OCR text format.
Yale Image Finder was first announced in August, 2008, so it’s surprising that I have not been able to find anywhere (including a scholarly description by the developers) that it’s been connected to the initiatives by Google, which seem to be so similar. The same sorts of expressions of awe and amazement that have been expressed about the Google initiatives apply equally well to the Yale project, so I’m excerpting several of these commentaries below, all written in January, 2008, when the latest patents from Google inventors Luc Vincent and Adrian Ulges were published …
Bill Slawski, who has written several articles on Google image-to-text patents – Google on Reading Text in Images from Street Views, Store Shelves, and Museum Interiors :
One of the standard rules of search engine optimization that’s been around for a long time is that “search engines cannot read text that is placed within images.” What if that changed?
Here’s more from Slawski – Googlebot In Aisle Three: How Google Plans To Index The World? :
It’s been an old sawhorse for years that Google couldn’t recognize text that was displayed in images while indexing pages on the Web. These patent filings hint that Google may be able to do much more with images than we can imagine.
I may be stating the blatantly obvious when I say that if Google has found a way to index text in static images and video this is a great leap forward in the progression of search technology. This will make every book in the Google Books database really searchable, with the next step being YouTube, Flickr (or Picasa Web) and more. The search capabilities of the future just became seriously advanced.
Of course — sorry to keep harping on it! — as much as recognizing text in pictures would be a great advance, the REAL advance, of recognizing the actual objects in pictures, the philosopher’s stone of image search, still seems far from happening.
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