Zach Walton of Web Pro News recently wrote, “Image search is a cornerstone of any search engine. That’s why both Google and Bing are doing everything they can to improve image search to bring up the most relevant images for any search imaginable. While some may argue that recent changes made to Google image search make it worse, Bing is moving ahead with a new strategy that involves deep learning. So, what is deep learning? In short, it’s a type of machine learning that uses artificial neural networks to learn about and understand multiple concepts, including the abstract. In the past, computer systems had to be manually ‘trained’ to recognize patterns or specific images. With machine learning, these systems can now learn to recognize these patterns on their own. When it comes to image search quality, Bing found that integrating deep learning into its systems greatly increased the quality.” Read more
Posts Tagged ‘image search’
CHICAGO, ILLINOIS–(Marketwired – Nov. 5, 2013) - Expert System, the semantic technology company, today announced that ANSA, a leading global press agency, has chosen the Cogito® semantic technology to improve access in its ANSAFoto image database.
The rapid growth of information has forced media and publishers to rely on technologies that enable filtering to access only the content you’re looking for, and real time sharing, both quickly and easily. In response, ANSA has implemented the first image search engine that uses semantic technology for analysis of captions in English and Italian. Read more
David Amerland of Social Media Today reports, “Google is systematically removing all the tools that traditional search engine optimizers and marketers had at their disposal that allowed them to reverse engineer search and create a set of metrics that could be used to gauge progress in search rankings for their clients… Hummingbird is clear evidence that Google search is getting smarter, drawing from a much more enriched set of entities in its semantic index and a much deeper Knowledge Graph. An Entity is a concept, divorced from its linguistic counterpart and defined by the relational amount of data that form its attributes, properties and uses. And Entities are now powering Google’s Image Search helping the search engine recognise images in pictures the same way you and I would.” Read more
David De Roure recently reported on the launch of CLAROS: “It would be a mistake to think of it as another humanities database or repository. Fair enough, it does provide access to spectacular content with 2 million records and images of world art, a human and programmatic interface and a significant contribution to the world of Linked Data (millions of RDF triples, SPARQL endpoint, …) But it’s not Yet Another Repository (shall we call that YAR?) – not a vessel of reposing data but an active and growing amalgamation of scholarly databases in an international interdisciplinary research federation. It comprises major collections in university research institutes and museums… and it has a truly impressive image search capability!” Read more
We’ve seen the big three players in the search engine space honing their semantic edge, and we may soon see one of them deploying semantic technology to sharpen image searches, too. nachofoto says it is in discussions with one of the giants (which it declines to name for now) that could result in a licensing deal to bring its ‘semantic, time-based vertical image search engine,’ currently in beta, to the big-time.
CTO Anuj Agarwal and CEO Vineet Agarwal, the co-founding brothers behind nachofoto and its focus on delivering the most recent image results, decline to name which major search engine we’re talking about.
It would, of course, be pure speculation to draw any conclusions from the fact that the Agarwals both consider the best analogy for what they’re doing as “Powerset for image search” (Microsoft acquired that semantic search engine in 2008 and it’s believed to be powering Bing Wikipedia).