blinkx, the world's largest and most advanced video search engine, today announced a partnership with Clevver (http://www.clevver.com), a Beverly Hills-based streaming video entertainment Web site. Dozens of clips from Clevver TV, the company's online television series, will be more easily accessible than ever before at http://www.blinkx.com, with more shows being added each month. Under the terms of the agreement, blinkx will leverage its AdHoc platform to place contextually relevant advertising against Clevver's video, and will share resulting advertising revenue with Clevver.
Launched in September 2008, Clevver TV features short entertainment news snippets highlighting what's cool in Hollywood and beyond. Catering to young audiences with short attention spans, Clevver TV covers entertainment news ranging from the latest in celebrity gossip, to the most buzzed about movie premieres. Hosted by Dana Ward and Joslyn Davis, the episodes feature high-quality graphics, catchy soundtracks and cutting-edge production in an effort to be continuously progressive and evolving.
"Entertainment news searches are without a doubt among the most popular on blinkx.com," said Suranga Chandratillake, CEO and founder, blinkx. "The short, snappy clips will be very popular with our users and we're excited to offer Clevver TV's high quality content to our index."
"We're constantly looking for new ways of expanding our reach," said Michael Palmer, director of production and business development, Clevver. "blinkx provides us with an effective way to share our programming with an even greater audience. We're thrilled to partner with the world's largest video search engine."
As the pioneer in video search technology, blinkx has built a reputation as the smartest way to search new forms of online content such as video. With more than 350 partners and 26 million hours of indexed video and audio content, including favorite TV moments, news clips, short documentaries, music videos, video blogs and more, blinkx uses advanced speech-recognition technology to deliver results that are more accurate and reliable than standard metadata-based keyword searches.
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