Shulou(Shulou.com)11/24 Report--

CTOnews.com, November 25, according to Baidu, film and television works are not only the epitome of cultural characteristics of different times, but also the embodiment of the level of science and technology in different periods. From black and white to color, from film to digital, the continuous development of science and technology makes film and television works in the form of richer colors and higher definition, which also provides the possibility for classic films to coruscate new life.

Film restoration workers repair the problems of old films, such as low resolution, high noise, low color saturation and so on, but the traditional manual frame-by-frame repair method is both time-consuming and laborious. In recent years, with the continuous breakthrough of AI technology, AI is more and more applied to the restoration of old films, and the quality and efficiency are better than before.

Recently, Baidu Joint Film Channel Program production Center ("Movie Channel") released Baidu Wenxin, the industry's first super-clear model of the film and television industry, using one model to handle multiple tasks of film restoration at the same time. Help movie channels to improve the efficiency of video restoration in an all-round way, bringing clearer and more gorgeous ultra-clear pictures and a more shocking experience for users.

Movie Channel-Baidu Wenxin Model according to reports, the movie channel has been committed to promoting the deep integration of UHD content with 5G, AI and other technologies, especially exploring the use of AI technology for film restoration to enrich the UHD video content of movie channels. The movie channel owns CCTV-6 and CHC series of pay channels and CMC series of international channels, all of which are professional channels that play movies, broadcasting more than 70 films a day. The movie channel has about 20,000 Chinese and foreign film resources, more than half of which are filmed on film. Although these film materials have been digitally preserved, the damage such as fading, scratches and dirty spots in the preservation process of the original film directly affects the picture quality of the film and reduces the playback quality, which needs to be repaired urgently. On the other hand, the demand for ultra-high-definition video is increasing.

CTOnews.com learned that test data show that using the movie channel-Baidu Wenxin model can repair 285,000 video frames a day, solving the problem of repairing most of the pictures. Even if further refinement is needed, the repair speed can be increased by 3-4 times. In addition, the movie channel-Baidu Wenxin model also has a wide application prospect in film and television video production, for example, in the ultra-definition of old films, it can carry out adaptive color enhancement, clarity enhancement, timing insertion, SDR to HDR and so on, so as to comprehensively improve the picture quality of old films and make them coruscate new vitality, so that classic old films can meet the requirements of viewing quality in the new era.

The intelligent super-clear model jointly released by Baidu and the movie channel deeply combines the technical capabilities of Baidu AI and the video repair data accumulated by the movie channel for a long time. Through the joint pre-training of super resolution, denoising, de-blurring, de-compression and other multi-task, and learning the number of hundreds of millions of parameters, it can repair a variety of damaged conditions at the same time, and enhance the clarity of the video by means of image quality improvement, edge sharpening and so on. Achieve the effect of improving video repair efficiency and visual experience in an all-round way.

On the right side of the picture above is the movie channel-Baidu Wenxin model restoration screen, selected from the movie "born in the sky" Baidu has fully developed Kunlun chip and deep learning platform Flying Propeller. It has formed a complete set of film restoration product solutions that integrate software and hardware, cloud services and privatized software, making the restoration more efficient and cheaper. Wen Xin big model has better generalization ability, which can speed up the landing of AI repair in the film and video industry.

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