Viscovery Released “Super Smart Cut” Advertisement Product
At the recently held Intel Developer Forum (IDF 16) in San Francisco, executive vice president and general manager of the Data Center Group Diane Bryant declared that Intel is releasing the new processor Xeon Phi, which is called the ”Knights Mill”, focusing on optimizing AI and the deep learning field. Deep learning can enhance its operational effectiveness, especially in audio recognition, video recognition, as well as autonomous cars. This chip is planned to be released in 2017, which is multi-functioned with stackable memory a multi-core processor. It also uses
high-performance floating-point calculations to strengthen the implementation of high-throughput deep learning.
A week before IDF 16, Intel purchased Nervana Systems, a company that focuses on deep learning chips. Intel also merged another chip manufacturer last year, which shows Intel’s emphasis on the deep learning field. Intel’s executive vice president and general manager of the Data Center Group Diane Bryant stated once again, “AI is changing the business models and how human beings connect with the world, and deep learning is the key to amplify the AI field.”
The deep learning development has improved enormously these years. Not only face recognition, but also object and video recognition have gone beyond the level of a human being. Viscovery’s Chairman Don Hsi also declared on IDF 16, “Based on deep learning, Viscovery released ‘Super Smart Cut’ advertisement model, which highly enhances Ad effectiveness in IoT and user experience. The famous video platform in China, Sohu, and Viscovery uses ‘Super Smart Cut’ to combine the scenes with the Ads, connecting the plot to decrease interference of the Ad for customers. It seamlessly puts the Ad in the video for marketers, and it can increase the connection between the viewer and the Ad.”
Jiangsu TV “Fighting Man” official App recently cooperated with Aube workshop, combining multi-angle viewing technique, VR, and 360 panorama. They put in new forms of advertisements with “watch and buy” technique, making the Ad seamlessly connect with the show. In that case, viewers can watch and buy at the same time, maximizing the benefits of the Ad, and making “watch and buy” become a trend in the future.
According to China’s research group, there are over 70% of online users who watch videos or movies in their fragmented free time, which is way more than those who use a real TV to watch. Thus, the data obviously shows that China’s online video market is growing rapidly, and Viscovery keeps creating new cooperating forms with online video platforms to promote how they can put Ads in a way different from TVs, changing the concept of digital advertising with mobility. Using video recognition technology, marketers can accurately find their target customer, and it can automatically recognize images with commercial value, including objects, scenes, and celebrities. Viscovery can help achieve the new advertisement format, “contextual advertising”, by finding Ad opportunities and spaces, customizing media’s need, and offering the marketers valuable media purchasing judgments.
Through Viscovery’s recognition technology, besides object-tracking and accurately finding the best period of time to put the Ad, the recent cooperation in the market in China also shows that the global video Ad market will be changed by the diversified formats of Ads in the future. Different from how Youtube puts Ads, marketers and agents can both reach the goal of optimization. Furthermore, for Viscovery’s next step, accuracy, customization, and mobility are the market strategy and core value of our Video Discovery Service (VDS).