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Viscovery’s deep learning and AI solution analyses video content to optimise effectiveness of contextual ad delivery

Taiwan-based visual analytics company Viscovery has announced raising $10 million in funding from its lead investor China Development Industrial Bank, in a bid to accelerate the growth of the platform’s global video data analytics and contextual advertising solution. GD1 Fund, H&Q Asia Pacific, and iStart (Softbank China’s Venture Capital early fund) also participated in this round.

The company’s Viscovery Discovery Service (VDS) provides video data analysis, search optimisation and other value added services to clients across the region, including those in Taiwan, South Korea and China. The platform leverages deep learning, machine learning, and artificial intelligence, in recognising the content in videos, including face, image, text, audio, motion, objects, and scene. The data is then analysed in order to determine the best context.

According to the company, clients find this technique more effective in finding video content, instead of just searching through keywords in the title or description.

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Amos Huang, founder and CEO of Viscovery, highlighted how the platform contributes to making video content easier to manage. “Over 85 per cent of the global cloud data are unstructured data, including photos and video content, so it’s a big problem to categorise, manage, tag, and search them. And Viscovery is offering the solution to this problem,” he said in a statement.

Viscovery founder and CEO Amos Huang

Viscovery’s target market mostly includes brands, advertisers and even producers of video content. According to Statista, this is a growth market, with a global revenue of US$16 billion in 2015, and expected to reach US$30 billion by 2018.

The company expects to utilise the fresh round of funding to increase its investment in research and development (R&D) talent, as well as expand its global reach. It is also ramping up its efforts in reaching out to the community. For instance, the company held its first ‘Viscovery Paper Sharing Meetup’, in which it helps members of the academe — professors and students — interested in machine learning and AI in applying their research into marketable applications.

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“Viscovery’s video data analysis can effectively find the opportunity or the best scene to put advertisements for any kind of commodity or brand,” Huang said. “Google AdSense has already proved that contextual ads are effective; when the text provides related information at the right place and the right time, the users’ click through rate (CTR) will increase. It also works on video content; after our online test, we found that video contextual ads have in average 32 per cent more CTR than traditional video ads, and it even had an 86 per cent growth on tablet devices.”

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Images Courtesy of Viscovery

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