👉Amazon Web Services (AWS ): Case Study Of The Walt Disney Company
By: Priya Soni
Tags: First Post

✍What is AWS ?

Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow. Running web and application servers in the cloud to host dynamic websites.

✍What is Cloud Computing ?

Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software. As long as an electronic device has access to the web, it has access to the data and the software programs to run it.

✍How Cloud Computing works ?

Cloud computing is an application-based software infrastructure that stores data on remote serves, which can be accessed through the internet. Cloud computing service providers usually maintain multiple copies of the data to mitigate instances of security threats, data loss, data breach, etc.

👉Types of Cloud Computing:-

Cloud computing is usually classified on the basis of location, or on the service that the cloud is offering.

👉Based on a cloud location, we can classify cloud as:-

Public, Private, Hybrid, Community Cloud.

👉Based on a service that the cloud is offering, we classify as:-

IaaS (Infrastructure-as-a-Service) PaaS(Platform-as-a-Service) SaaS(Software-as-a-Service) or, Storage, Database, Information, Process, Application, Integration, Security, Management, Testing-as-a-service. Depending on the type of data you’re working with, you’ll want to compare public, private, and hybrid clouds in terms of the different levels of security and management required.

👉Public Cloud : —

Whole computing infrastructure is located on the premises of a cloud computing company that offers the cloud service.

Public Cloud

👉Private Cloud : —

Hosting all your computing infrastructure yourself and is not shared. The security and control level is highest while using a private network.

Private Cloud

👉Hybrid Cloud : —

using both private and public clouds, depending on their purpose. You host your most important applications on your own servers to keep them more secure and secondary applications elsewhere.

Hybrid Cloud

👉Community Cloud : —

A community cloud is shared between organizations with a common goal or that fit into a specific community (professional community, geographic community, etc.).

Community Cloud

✍What are the features of AWS ?

Amazon Web Services Security built-in features:- Identity and Access Management (IAM) . Virtual Private Clouds (VPCs) . Security Groups and Network ACL’s. Data Encryption. Direct Connect. AWS Cloud Trail. Trusted Advisor.

Features of AWS

👉Case Study Of Walt Disney Company:-

IN A 1957 episode of the TV series Disneyland, Walt Disney leads viewers into the depths of his Burbank animation studio. “In our morgue,” he says, referring to the underground library, “these shelves, tables, and file cabinets hold all our history as a motion picture studio.” Well before other animation studios, Disney insisted that its archive be accessible to writers and illustrators who might need it for reference or inspiration. Drawings, concept artwork, and more from favorites like Dumbo and Peter Pan were carefully tucked away in this vault. And in the years since, Disney has stayed committed to preservation.

AI is Facial Recognition for animation

“We have new characters in TV shows, football players changing teams, new weapons for superheroes, new shows,” said Miquel Farré, the team’s technical lead, and all of it requires a heap of fresh metadata.

With the help of AWS services, he and his team are building machine-learning and deep-learning tools to automatically tag this content with descriptive metadata to make the archiving process more efficient. As a result, writers and animators can quickly search for, and familiarize themselves with, everyone from Mickey Mouse to Modern Family’s Phil Dunphy.

✍What is metadata ?

Metadata can be explained in a few ways: Data that provide information about other data. Metadata summarizes basic information about data, making finding & working with particular instances of data easier. Metadata can be created manually to be more accurate, or automatically and contain more basic information. The team leading this work was originally formed in 2012, as a part of the Disney & ABC Television Group. Over the years, it has grown, and now as a part of Disney’s DTCI Technology group, it has become the index and knowledge base of the styles and conventions of the Disney universe (for example, in Bambithe animals talk — in Snow White, they don’t). For their machine-learning tools to generate metadata that accurately describes the creative content, the team depends on the writers and animators to explain the stylistic features that make each show unique.

The Walt Disney Comapny

The goal is to build deep-learning algorithms that can automatically tag the components of a scene in a way that’s consistent with the rest of the Disney knowledge base. Humans still need to approve the algorithm’s tags, but the project is meaningfully reducing the work that goes into organizing the Disney library, improving the accuracy of searches within it. What’s more, this progress is freeing up engineers to focus more on developing deep-learning models using AWS (Amazon Web Services). And as a result, their efforts to automate metadata creation across different kinds of Disney content are humming along.

👉Deep learning gives animations an identity for Disney:-

One of the most successful deep learning/metadata projects has been solving the problems presented by animation recognition. In a live-action movie or TV show, for a machine, separating a character from her surroundings is relatively simple. But animation makes things more complicated. For example, take an animated scene in which a character appears both in the flesh and in a poster (say the character is a criminal, and Wanted signs have been posted throughout town). “For an algorithm, this is extremely complex,” said Farré. But the model’s real power is that it can be applied to any piece of animated content. That is, rather than create a new model for every Goofy, Hercules, and Elsa, the team only need use their generic model, which, with slight adjustments, will work for any character in any show or movie.

AI is Facial Recognition for animation

In the last year, Farré’s team has developed a deep-learning method that can distinguish animated characters from their static representations, identify them within a crowd of doppelgangers (as in DuckTales, where many characters are pretty much identical), and recognize them in scenes with funky lighting (in Alice in Wonderland,when Alice first meets in the Cheshire Cat, all he reveals is his toothy grin). Having decided what’s what, the algorithm can tag the scenes with the appropriate metadata.

AWS has been a key partner in Disney’s transition from traditional machine learning to deep learning, especially when it comes to experimentation. Elastic cloud computing EC2 instances allow the team to quickly test new versions of the model.

(For the animation-recognition project, Disney is using the PyTorch framework with pre-trained models.) Since there’s a lot of research going on in deep learning, the team is constantly experimenting with new and novel methods.

The metadata research has been so successful that departments across Disney have caught wind. Farré said his team recently engaged with ESPN’s personalization team to provide detailed metadata about all the articles and videos that go on the industry-leading digital applications and websites.

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