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The following is an unedited press release, shown as received from the company represented. We've elected to present selected releases without editorial comment, as a way to provide our readers more information without further overtaxing our limited editorial resources. To avoid any possible confusion or conflict of interest, the Imaging Resource will always clearly distinguish between company-provided press releases and our own editorial views and content.

NachoFoto's logo. Click here to visit the NachoFoto website! PRESS RELEASE: NachoFoto Launches First Ever Real-Time Image Search Engine

Delivers most relevant image results in real-time for trending topics and rising search terms.

Mill Valley, Calif. (PRWEB) April 12, 2010 -- NachoFoto (www.nachofoto.com), a technology company pioneering a new approach to image search, unveils its innovative search offering which combines new images published on the web with its Semantic index,delivering the most recent and relevant results for popular search queries.

A perfect image search engine will deliver the most relevant images taking into consideration the "Semantic Change" a search query undergoes with time" said founder Vineet Agarwal. "That is where NachoFoto is headed" he added.

"The Internet has evolved over time and so is our expectations across different verticals including image search.There hasn't been noticeable innovation in image search technology since the inception of internet.Our technology leverages the high quality dynamic multimedia content available on the internet." said founder Anuj Agarwal. "Nachofoto search results are based on the semantics of the search query with respect to time, and not completely dependent upon preset keyword groupings or inbound link measurement algorithms, which make the more traditional search engines easier to game, thus including more spam oriented results."

NachoFoto's patent pending technology uses semantic text-analysis to calculate Recency factor and Image density of a webpage which determines recency and relevancy of an image on a webpage for specific search terms.The search engine goes beyond today's image search technique of indexing images based on their file names to analyze the context of the web page and associate them with images embedded within.

"I tried 'global warming'', 'phones', 'Christmas', 'H1n1' and 'fireworks' and got some nice results" said Konstantin Guericke, former VP of Marketing and co-founder at LinkedIn. Currently he serves as an Advisor to NachoFoto.

"The fact that NachoFoto has better results is undeniable" said Dr Christopher Brooks who is currently Computer Science Department Chair at the University of San Francisco. "It would be interesting to see how scalable this model is” " he added.

"You guys certainly stand apart from the Twitterverse!" says Jean Claude,Business Development at Amyris Biotechnologies. Jean holds an MBA from the Haas School of Business at UC Berkeley and a B.A. from Harvard University. He serves as a finance advisor at NachoFoto.

"Stunningly smart photo search engine that blows away Google and Yahoo" says David Hayden, a visionary and technology entrepreneur who founded Magellan Search Engine and currently CEO of pana.ma.

About NachoFoto
Headquartered in Mill Valley,California with offices in Mumbai,India NachoFoto.com is a Real-Time image search Engine that enables a user to search most recent images of anything that is currently popular in the world. Nachofoto’s primary focus is to solve the biggest problem of image search - How to show relevant images in "real time"?

NachoFoto was founded in June 2007 by Vineet,Monica and Anuj Agarwal.

To get a brief overview of the "inner workings" of our search engine visit www.nachofoto.com/whitepaper

To learn how we are different from existing image search engines check out our case studies.

For more information, visit the Nachofoto blog at http://nachofoto.blogspot.com
NachoFoto on Twitter www.twitter.com/_nachofoto
NachoFoto on Facebook - www.facebook.com/nachofoto.realtime


(First posted on Wednesday, April 14, 2010 at 14:01 EDT)

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