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Youku Tudou, Qualcomm collaborate on HEVC tech for mobile

The Chinese video streaming site and the U.S. chip giant will work on H.265 technology to give viewers mobile access to high quality video content on the site through Qualcomm's Snapdragon processor.
Written by Ellyne Phneah, Contributor
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Youku Tudou, Qualcomm and Qualcomm Technologies will collaborate on HEVC technology.

Chinese video streaming giant Youku Tudou has partnered Qualcomm and its wholly-owned subsidiary Qualcomm Technologies to allow viewers high quality video content on their mobile devices.

According to a press statement by Youku Tudou on Thursday, both companies will collaborate on H.265 technology, also refered to as HEVC (High Efficiency Video Coding) codec, for high quality delivery on most of Qualcomm's Snapdragon processor powered devices.

The H.265 technology allows a compression efficiency of up to 40 percent compared to the current video compression technology H.264.

"As the consumer appetite for rich multimedia mobile experiences began to grow, Qualcomm Technologies committed to driving the H.265 industry standard forward and integrating this technology into Snapdragon processors to enable an elite consumer experience," Anand Chandrasekher, Qualcomm's chief marketing officer said in the statement.

"Youku Tudou stands out as an ideal platform choice as the Chinese market is becoming increasingly impossible to overlook. We are pleased to work with companies like Qualcomm Technologies to reach a growing number of young, tech-savvy, mobile consumers," Chandrasekher said.

Youku and Tudou, China's two largest video streaming site had joined forced to form one entity to boast the largest user base and most comprehensive library in China in March last year. The entity said it will focus on growth strategy on its home market but is open to setting up international operations in the future.

Separately, Japanese telco NTT Docomo has been working on introducing smartphones with HEVC technology this year, which will help improve image quality and reduce the data strain on networks.

 

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