Impressive Video Data Compression

In summary, The conversation discusses the advancements in data compression for video streaming and its potential implications for creating deep fakes. One particular technique mentioned is the use of key facial points to render a scene from an old photo, similar to the animation of old photos using a digitized actor. The possibility of ignoring artifacts in the transmission process is also raised.
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anorlunda
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https://arxiv.org/pdf/2011.15126.pdf
https://nvlabs.github.io/face-vid2vid/
https://wandb.ai/ayush-thakur/face-...hesis-for-Video-Conferencing--Vmlldzo1MzU4ODc

One thing in this modern world seems to be ubiquitous; the demand for streaming more and more video. The
data compression in these papers, appears to be a significant step forward in reducing the bandwidth required.

I don't know whether to call it an algorithm or an AI. The difference is blurry.

On the dark side, it also appears to enable much simpler production of deep fakes.

 
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Interesting compression. Thanks for sharing.

This seems very similar to the recent animation of old photos using the old photo and a digitized actor doing the actions to be the guide for the video rendering.

They record an actor and key facial points for each frame and then map the old photo facial points to the actors facial points to render the scene.

I imagine too the artifacts can be ignored as side-effects of the video transmission in the viewers mind.

Standard video does something simpler with i-frames and p-frames where the i-frame is a full frame of the image (like jpg or bmp) and the p-frame is what changed.

https://en.wikipedia.org/wiki/Video_compression_picture_types
 

1. What is video data compression?

Video data compression is the process of reducing the size of a video file without significantly compromising its quality. This is achieved by removing redundant or unnecessary data from the video file, thus making it smaller in size.

2. How does video data compression work?

Video data compression works by using mathematical algorithms and techniques to reduce the amount of data in a video file. This can include removing duplicate frames, reducing color depth, and using compression methods such as MPEG or H.264.

3. Why is video data compression important?

Video data compression is important because it allows for easier storage and transmission of video files. Without compression, video files would be much larger and take up more storage space, making it difficult to share or stream them online.

4. What are the benefits of using video data compression?

There are several benefits of using video data compression, including reduced file size, faster transmission or streaming, and improved storage efficiency. It also allows for the storage and playback of high-quality video on devices with limited storage capacity.

5. Are there any drawbacks to using video data compression?

While video data compression offers many benefits, there are also some drawbacks. The compression process can sometimes result in a loss of video quality, especially if the compression is too high. This can result in a less detailed or slightly distorted video. Additionally, decompressing a compressed video file can take longer and require more computing power.

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