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Maybell Hughs

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Aug 2, 2024, 12:31:27 PM8/2/24
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In the internet-connected world, it's almost expected that any form of entertainment (movies, TV shows, sports, music, etc.) is available anytime, anywhere, and on any device. We're in the midst of a significant change in the way we consume content. For example, as a result of new models of content distribution, you no longer have a 13-week wait to find out what happens at the end of a House of Cards season. Instead, you can binge-watch the entire season in one sitting! At the core of this cultural shift is the ability to smoothly stream video over the internet to millions of members around the globe.

I lead the Streaming Science & Algorithms team at Netflix and we focus on using data to improve the streaming user experience. This is a rich space with lots of room for innovation. The problems we tackle are diverse and span the entire streaming lifecycle, from optimizing the digital supply chain that starts with the assets we receive from the studios, to developing new algorithms that affect the real-time streaming quality for our members once they hit play on Netflix. I've covered some of the problems we're working on in this post on the Netflix Tech Blog, so I'll focus on how we're thinking about this relatively young space (at least in terms of data science) and our approach for using data to improve streaming quality at Netflix.

We use member viewing data as well as explicit member feedback data to build really cool machine learning models that have a direct impact on viewing experience. Predictive models can be used to understand the impact of specific aspects of quality on core metrics such as retention and member engagement. This information can then be used to personalize streaming for each member. Models based on machine learning and natural language processing (NLP) with user-generated comments and reviews can help identify content quality issues such as audio-video sync or incorrect subtitles. The blog post covers the predictive modeling aspect well so do check it out for more information on this aspect.

Our scientists and engineers spend a lot of time thinking about new ways to improve streaming. The approaches may include tweaking the parameter settings of a heuristic algorithm, or determining which model-based solution works best and under what scenarios. Insights from predictive models can also lead to ideas for improving the product. Once we have a reasonable set of hypotheses for changes we'd like to make, we run experiments to test these hypotheses and obtain real-world data that can be used to make a rollout decision.

One of the advantages of a large streaming member base is that we can run shorter duration experiments (some as short as a few hours), collect a significant amount of data, analyze the data to determine if the change worked, and decide if the change should be rolled out rather quickly. This allows for rapid experimentation and product innovation. We also build models using experimental data to guide our intuition and future experimentation.

With the explosion in streaming services, Netflix recognizes the need to stay at the forefront of streaming technology, which will continue to be a critical part of our product experience as we expand globally in the next two years. It's an exciting time to be doing data science in streaming, and the Netflix culture of freedom and responsibility is ideal for a discipline that needs room for creativity. If you're interested in working in this space, do check out the Streaming Science and Streaming Experimentation positions.

I have an 49XD8099 with Android 6.0.1. Simply put, to watch "The OA" from Netflix in HDR is unbearable. It's like if they added a wall of fog. Disabling the HDR the image improves considerably, still being a bit washed out. Other shows, when watched in HDR, don't look better either, so much that I decided to have a video mode with HDR off for Netflix only.

I must says that the HDR quality of various new Netflix videos quite improved. I am not sure if the Android TV updates and/or the fact that I watch Netflix via Apple TV 4K helped as well. So, to me it isn't a big issue anymore.

Secondly - im just going though a few posts that have been missed recently and found this one - Reading through, I am unsure on how to help you to be honest - other than suggesting that you choose the non-hdr version of OA

HDR on TVs that doesn't meet the HDR specifications will always look awful and never will be HDR. Just like DD with just 2 speakers is not exactly a DD. And the idea of marketing TVs as HDR while they are not is just a bad idea. Sure, they can process HDR signal but display can't reproduce it in a way that it should look.

I believe it is possible on some 4K HDR content on Netfix.... Or was it Amazon, im now unsure. Basically you could choose the 1080p version over 4K HDR version instead due to it being in another category. I did it not long ago.

I couldn't find any way for Netflix. It is also not possible on a system level to disable HDR. At least not for ATV1. Maybe @Jecht_Sin or someone else has an idea how to achieve that. I think on ATV2 there is an option, see above quote and link to FlatpanelsHD.

The quality standards that is followed by netflix is just great and appreciate teh type of contetn being posted on their sites!!! thumbs up. [Link removed by moderator] is also similar to netflix where one can watch movies,cartoons,daily soaps anytime they feel like.!!

- After posting this I had a chat with Netflix, and no, there are no options to disable HDR in the player. The most one can do, from the settings in the web browser, is to reduce the available bandwidth, so that it will stream at 1080p. - The other option is to simply disable the HDR in the settings for a channel, but that disables it everywhere.

Still the issue is mostly with "The OA" (which I could just avoid watching for this reason and for the other more important reason that it is a stupid show. What a waste of time). Other HDR videos in Netflix look much better, and "Grand Tour" in Amazon looks amazing. So do the HDR demo downloaded from the internet at full bit rates (and they look awful with HDR disabled).

I must also say that Netflix streaming quality, in my opinion, can be disappointing. Many UHD videos look granulated. I have a fiber connection so it isn't a bandwidth issue. I am honestly a bit surprised. Even Youtube videos look better!

Sorry, sometime the English words flips in my brain. I meant an image mode. Then I have got also confused with the inputs (like HDMI 2 vs App (Video) ). Anyway, from Android changing the HDR to NO in a image mode (like custom) it puts HDR NO in all modes.

I'm not entirely sure if Stack Overflow is the correct website to ask this question, but I have been thinking about it ever since a friend mentioned it to me a week ago. I know on a baseline level what hardware acceleration does: offloads certain workloads to other components in your computer (i.e. your GPU or sound card) to improve performance in various applications. I just would like to know what exactly is happening when hardware acceleration is on v/s off when streaming a Google Chrome window and why it makes a difference in a completely different application.

If you're unfamiliar with what I'm referencing in the title, here's a simple example of what I mean: Let's say you want to watch a Netflix show or sporting event with your friends on Discord, so you all hop in a call together on the app to watch you stream the video in a Chrome tab. However, when your friends join the stream, they can hear the audio of what you're streaming but the video feed is blacked out for those watching. Interestingly enough, one of the solutions people have found to this issue is disabling hardware acceleration in Google Chrome's settings which allows the video and audio to be streamed no problem.

It makes sense why this occurs: to prevent potential piracy and illegal redistribution of copywrited material, but why does disabling hardware acceleration re-enable this functionality? Does hardware acceleration allow data to be shared between apps? Does Discord set a flag saying a particular window/screen is being streamed and Chrome can only "see" that flag while hardware acceleration is enabled?

I guess the underlying question is: how does having hardware acceleration enabled allow Netflix, a TV provider or any other website for that matter to know their content is being streamed?

The hardware acceleration allows the HDCP content to remain encrypted all the way to the display. By disabling it, the video is decrypted in software usually at a reduced resolution and/or frame rate.

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Despite this victory, it may leave investors confused as to which streaming service stock might serve them better. Do they stick with the longtime streaming giant Netflix, or do they try to capitalize on YouTube's variety and the Google parent's digital advertising dominance?

In a technical sense, Netflix is the more straightforward "streaming stock" choice, as it relies primarily on that medium. It has held a first-mover advantage by pioneering the industry and progressively adding content and options as competitors emerged.

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