Image-based search engine Imprezzeo announced for launch
- Added:
- Sep 10, 2008
Imprezzeo, a new picture search engine which returns results based on analysis of the images, is set to launch with backing from Independent News and Media PLC (INM).
Eschewing the traditional keyword-associated searching, which Imprezzeo’s founders believe can all too frequently lead to the wrong results being shown in relation to requests, this new search engine will use emerging applications to examine the pictures themselves.
The search engine’s proprietary software is founded on an amalgam of content-based image retrieval (CBIR) and facial recognition technologies developed at the University of Wollongong and the University of Queensland in Australia.
Upon searching, the user can better refine a set of returned images by selecting those which resemble what they are looking for most closely. By analysing the characteristics of the selected sample, the Imprezzeo engine can quickly and seamlessly re-order the results, or indeed the whole image collection, to show the images that best match the sample. Users can also upload images from their own collection to use as the sample.
Imprezzeo has been designed to complement existing search engines by acting as a very powerful refinement tool after any initial image results set has been returned.
Gavin O’Reilly, Group COO of INM, comments: “Imprezzeo is simply unlike any other image-based search proposition in the market today, because it is based on two cutting-edge technologies, guaranteeing relevant image search results each and every time. Using images to search for images is what the market is looking for, and we see Imprezzeo as a core complementary technology for search engines that will transform the way users search for images.”
