Digital video media itself is massive data. With the breakthrough of artificial intelligence, how to identify, understand, and analyze these content and provide feedback through artificial intelligence are the focus of attention of all technology giants: image recognition, semantic recognition, and plot. Emotion recognition and search are problems that are being solved by all parties.
Artificial intelligence and cloud computing are accelerating the transformation of various industries, and the media and entertainment industry may be one of the fastest-changing ones.
The United States Radio and Television Exhibition (NAB) held in New York last week became a colossus of technology giants: Amazon's cloud services AWS, IBM, and Google all appeared as major exhibitors, and they talked to TV stations in various forums and technical discussions. Film and advertising companies describe a similar future.
The video content is not only stored and played in the cloud, but its entire production process will be able to complete in the cloud relying on powerful computing capabilities. In turn, these massive data will continue to “train†the artificial intelligence system and automatically provide the media with a series of valuable information. : From Harrison Ford appeared in the first film 30 years ago, to which actors and what kind of story is the audience more want to see at the moment.
If the success of headline drama "House of Cards" proves the effect of big data on content creation, Netflix's own commercial expansion reflects the role of cloud and artificial intelligence on the media: as the first video content With content providers moving to the cloud, Netflix has expanded to more than 130 countries through the Amazon Cloud AWS service, becoming a truly global Internet television network.
At the American Radio and Television Exhibition, media and technology giants are exploring ways to extend and expand this trend.
"Twenty to thirty years ago, technology was the back office of the media company responsible for repairing computer-controlled data. But now, the media itself has become technology." Peter Guglielmino, director of IBM's global media and entertainment industry, presented to the 21st Century Business Herald on the show floor. The reporter said.
Digital video media itself is massive data. With the breakthrough of artificial intelligence, how to identify, understand, and analyze these content and provide feedback through artificial intelligence are the focus of attention of all technology giants: image recognition, semantic recognition, and plot. Emotion recognition and search are problems that are being solved by all parties.
“A few years ago, when it came to cloud computing and artificial intelligence, many media elites were still confused. Now everyone has seen the importance,†Guglielmino said.
“This is a systematic upgrade, from shooting and uploading digital content to rendering and editing, and the application of post-artificial intelligence,†said Quine CEOO Gunleik Groven, a pioneer of digital media transmission and metadata acquisition, told 21st Century Business Herald reporter that he It is believed that from cloud services to artificial intelligence, the intelligent transformation of media entertainment is still in its infancy. "Either Amazon or IBM is trying to build a more connected media puzzle."
Turn to the Cloud: From Why to How
"For the media, for the transfer to the cloud, everyone has started to ask why and how to do it," Guglielmino said.
From the NAB site, whether it is Microsoft's Azure, IBM, or Google's cloud services, many manufacturers have mentioned. When it comes to the precedent of media and cloud service cooperation, the story of Netflix cannot be ignored.
In August 2008, Netflix encountered a serious database corruption incident and failed to send DVDs to its member users for three consecutive days. Since then, Netflix has realized that a single-point data system with vertical expansion of relational data in offline data centers is prone to occur. The problem must turn to highly reliable, horizontally-extending cloud-based distributed systems.
Netflix spent seven years from that event to completing the real transition to the Amazon Cloud Web Services. In January 2016, Netflix announced the completion of the cloud migration and shut down all its own streaming media service data centers.
Migrating to the cloud has brought a number of benefits to Netflix.
On the one hand is body mass. Compared to 2008, their current streaming media users have increased seven-fold, and the average viewing time of users has increased at the same time. In eight years, the overall viewing volume of users has increased by three orders of magnitude.
Netflix itself has been continuously evolving rapidly, and each function is increasingly relying on new resources and increasing data volume. To support such rapid growth, our own data center alone cannot help. The cloud's flexibility allows it to add thousands of virtual servers and petabytes of storage capacity in minutes. Netflix leverages AWS's global service cloud, dynamically adjusts service networks, and expands global network service capabilities. Create a better and more satisfying streaming media service experience for global member users.
In addition, the cloud also improves the time coverage of Netflix services. After several failures in the local data center, although inevitably encountered some trouble in the cloud, the overall time coverage has been steadily improving, and it is almost close to the desired 99.99% non-stop operation.
Establish video capabilities on the cloud
"Only one cloud server is not enough, and what is more important is what services can be provided on this basis." QuineCEOGunleikGroven said, "a significant trend is that technology giants have non-stop acquisitions of service companies in the original segment of media. To transform the specific video media skills such as file uploading, rendering, and transcoding into their own platforms."
As early as 2013, IBM acquired privately held large file transfer technology company Aspera.
Aspera's transmission technology can cut the transmission time of large data files. A large data file with a capacity of 24GB, for example, normally takes 26 hours to transmit to the other end of the globe, but Aspera's technology only takes 30 seconds. The high-speed transmission technology used by Aspera is called “faspâ€, which breaks the bottleneck that currently restricts broadband transmission rates.
Among Aspera's current customers, there are also video service providers, such as Netflix and Universal Pictures, which do not want their data to be blocked on traditional networks.
In 2015, Amazon acquired Elemental, a video technology company, for $500 million and integrated it with AWS video technology. It established a video cloud open platform and opened the video cloud technology to developers, including video receiving and transcoding. And storage, elastic expansion and many other computing-related functions.
In March of this year, Amazon AWS acquired Thinkbox software. This acquisition means that in addition to basic cloud computing services, it will add more practical tools for its customers, mainly for video and the broader visual media industry. Media design and content creation solutions.
It is understood that examples of services provided by Thinkbox include systems for rendering management, geometry caching and particle meshing, and other tools for a series of particle rendering solutions. Its solution is currently designed for on-premise and cloud-based work.
Although Amazon has no relevant materials to show its position on Thinkbox, based on the dramatic growth of global media digital video content, relevant speculations suggest that it will establish and sell more services, and development companies will turn to Amazon to provide back-end support to help them not only provide Content, but also create content.
After competing for video companies on various platforms, Microsoft's cloud platform Azure is not to be outdone. In April of this year, Microsoft announced that it would cooperate with the world's leading media technology providers to provide media organizations, corporate users, and independent artists around the world with tools for production, distribution, and media value.
As part of the agreement, Avid selected Microsoft Azure as its preferred cloud hosting platform, and will develop and launch a series of software as a service (SaaS) and platform as a service (PaaS) service models based on the Avid MediaCentral platform. It is the most open, integrated and efficient platform in the industry and is designed for the media industry.
Through cloud-based services built on the industry's most advanced and comprehensive Avid creative tools and media workflow solutions, Strategic Cloud Alliance will enable media organizations and creative professionals to quickly and easily balance efficiency, flexibility and agility Sex - Avid's flexible authorization and deployment approach makes this possible. Through the company's new media workflow, new operational capabilities and new business opportunities, the cloud can also drive industry innovation.
Artificial intelligence recognition ability
Resolving a series of processes such as storage and editing on the cloud is not the goal of technological development. It is more important to use artificial intelligence to analyze and identify data and better serve content creation.
Peter Guglielmino told reporters in the 21st Century Business Herald that IBM has just launched IBM WastonMedia for the media. By extracting huge amounts of data from the media and entertainment company's video library content, these companies can have a deeper understanding of their video library. These massive data include visual data (people or things), text and audio prompts (callouts and sounds), emotional cues (voices), and other characteristics such as location. When media and entertainment companies have such data reserves, they can better provide consumers with a participatory experience and provide better matching for advertisers.
In the past September US Open, the IBM Watson Media’s “Cognitive Highlight†feature uses artificial intelligence to analyze players and spectators in real time. During the competition, the system has been monitoring seven different U.S. Open tennis venues, analyzing the speed of the ball, the distance the players are running, and the number of cheerings of the audience, in order to assign it to the “Overall Excitement†score. All of this data is processed by Watson and will then appear on the U.S. Tennis Open App and USTA Facebook page.
In addition, new features of “Cognitive Highlight†have been added to the list of tasks “entrusted†to Watson, including collecting and analyzing statistical information to provide information to TV stations, actively monitoring the US Open Tennis official website to prevent security threats, and scaling up to accommodate The dramatic increase in network traffic before and after the game.
Al Jazeera has already begun such an attempt. Albuquerque deputy director of Al Jazeera believes that artificial intelligence and big data are likely to reshape newsrooms in the future. Abu Gera pointed out that about a year ago, Al Jazeera began to analyze its content through facial recognition, speech translation, and sentiment analysis. “We're figuring out exactly how that guy got angry? When did the voice come out? People are When does it cheer?"
He said that enhancing and enriching metadata can only be achieved through a very smart artificial intelligence platform. "Although we have a lot of content, we can't achieve this goal without cloud computing and powerful artificial intelligence," said Abu Gera.
Abu Gera pointed out, "In order to achieve it, we need to make sure that we make the right judgments. Some of them do not depend on you to achieve, you need to support the technology to help you reshape your thinking, and even make wise decisions."
In addition to using artificial intelligence to analyze its content, Al Jazeera is using big data to mine information that may be hidden in its 20-year news program archive. For example, analysts believe that a politician used a sentence when speaking in a country and then tried to identify a policy decision that he had made. "There are many possibilities." Abu Gera said, "You must digitize and analyze."
Peter Guglielmino told reporters in the 21st Century Business Herald that in terms of technology development and demand, the pursuit of efficient and fast news and sports is the earliest application of the media system at present, but the future will surely go deep into advertising, film and television production.
"Content production is a one hundred billion market, and everyone is sprinting," Guglielmino said.
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