Basics of Video Encoding: Everything You Need to Know
by THEOplayer on February 20, 2020
What is video encoding? In simple terms, encoding is the process of compressing and changing the format of raw video content to a digital file or format, which will in turn make the video content compatible for different devices and platforms. The main goal of encoding is to compress the content to take up less space. We do this by getting rid of the information we don’t need, also referred to as a lossy process. When the content is played back, it is played as an approximation of the original content. Of course, the more content information you get rid of, the worse the video that is played back will be, compared to the original. The process of video encoding is imposed by codecs, which we will discuss in this post.
Why is Encoding Important?
Video encoding is important because it allows us to more easily transmit video content over the internet. In video streaming, encoding is crucial because the compressing of the raw video reduces the bandwidth making it easier to transmit, while still maintaining a good quality of experience for end viewers. If all the video content was not compressed, available bandwidth on the Internet would be inadequate to transmit all of it and prevent us from deploying widespread, distributed video playback services. The fact that we can stream video on multiple devices in our homes, on-the-go using mobile, or even while video chatting with loved ones across the globe, even with low bandwidth, is owed to video encoding.
In video encoding, motion is very important. We most often express this in I frame (or keyframe), P frame and B frame. The keyframe stores the entire image. In the next frame or the P frame, when noticing not much has moved or changed, the P frame can refer to the previous keyframe, as only some pixels have moved. I, P and B frames form groups of pictures (GOPs) together, and frames in such a group can only refer to each other, not frames outside of it. For frames with not a lot of movement, this can save about 90% of the data storage that you would need to store a regular image (if it would use a lossless data compression like in PNG files), which are very big.
Within each frame, there are macroblocks. Each block has a specific size, colour and movement information. These blocks are encoded somewhat separately, which leads to proper parallelization. Previously, codecs such as H.264 only allowed block sizes of 4x4 samples or 8x8 samples, however newer codecs have now allowed for more block sizes as well as rectangular form. Large blocks are used when there isn't a lot of detail needed in the block, and only using a large block saves a lot of space, rather than just having many small blocks.
Macroblocks consist of multiple components. There are sub-blocks whose purpose is to give pixels colour information. There are also sub-blocks that give the vector for motion compensation compared to the previous frame. Due to this macroblock structure, in low bandwidth situations there can be sharp edges or "blockiness" visible within the video content. There are ways around this by adding a filter that smooths out these edges. The filter is called an "in-loop" filter, and is used in the encoding and decoding processes to ensure the video content stays close to the source material.
In most cases, we divide a color in RGB channels, however, the human eye detects changes in brightness much more quickly than changes in color, especially in moving images. Therefore, in video, we use a different color space called YCbCr. This colour space divides into:
- Y (luminance or luma)
- Cb (blue-difference chroma)
- Cr (red-difference chroma)
- luma = brightness, chroma = color
In chroma subsampling, we split images in their Y channel and their CbCr channel. For example, from an image we take a grid of two rows with four pixels each (4x2). In the subsampling we define a ratio as j:a:b.
j: amount of pixels sampled (i.e. width of grid)
a: amount of colors (CbCr) in the first row
b: amount of color (CbCr) changes in the second row, in comparison to the first row.
In streaming video, 4:4:4 is the full colour space. Reducing it to 4:2:2 saves 30% of space, and reducing it further to 4:2:0 saves 50% of space. In video streaming (think your Netflix and Hulu TV shows), the most commonly and widely used is 4:2:0. In the video editing space however, 4:4:4 is the most common.
When discussing the encoding of video, we refer to more than just saving space with the image components, but also with the audio components. Audio is a continuous analog signal, but for encoding, we need to digitise this. Once the audio is digitised, we split it up into multiple sinusoids, or sinus waves, each of which represents an audio frequency. To save space, we can discard frequencies that we do not need.
If we take an image, we can also see rows of pixels behind one another as one large signal. Just like audio we remove frequencies in the image, known as frequency domain masking. Removing frequencies does lead to a loss of detail, but you can remove a fair amount of frequencies without it being noticeable to the end viewer. This process is known as quantization.
What are Codecs?
Codecs are essentially standards of video content compression. Codecs are made up of two components, an encoder to compress the content, and a decoder to decompress the video content and play an approximation of the original content. An enCOder and a DECoder, hence the name codec.
For audio, AAC is seen as the de-facto standard in the industry. AAC is essentially supported everywhere, and has the largest market share. Other audio codecs include: Opus, Flac and Dolby Audio. Opus excels in voice and is also used by YouTube, seemingly the only large service using it, but still it falls back to AAC. Dolby Audio, also known as AC3 is sometimes still used in instances for surround sound, as some older surround sound systems don’t play AAC.
H.264, also called AVC (Advanced Video Coding) or MPEG-4 AVC, was standardised in 2003. The codec was developed by MPEG and ITU-T VCEG, under a partnership known as JVT (Joint Video Team). It is supported virtually everywhere, on any device, while still providing a quality video stream, and is seen as a baseline for newer codecs. It also is relatively easy concerning royalty fees.
H.265, also known as HEVC, which stands for High Efficiency Video Encoding, is a standard by MPEG and ITU-T VCEG (under a partnership known as JCT-VC). This codec was first standardized in 2013, and was eventually expanded on from 2014 through 2016. The goal with H.265 is to improve the content compression by 50% compared to H.264, all while keeping the same quality.
A Netflix study showed improvements that ranged from 35-53% when comparing it to H.264, and improvements of 17-21% when comparing it to VP9.
**keep in mind that the encoder, content, etc., matters a lot for these kinds of comparisons.
These improvements were achieved by optimising the techniques that already existed in H.264. Essentially, H.265 compresses the content into smaller files than possible in H.264, and in return decreases the required bandwidth that would be needed to play the video content. Although this is all great news, H.265 is still very rarely used. Why? The main issue is the uncertainty around licensing and royalties.
VP9, the successor of VP8, was developed by On2Technologies, which is owned by Google. VP9 was standardised in 2013. This codec is similar to HEVC, however no royalties are required. Where those in the industry run into difficulties with VP9 is that, while it is widely supported on all major browsers and android devices, it is not supported by Apple or any of Apple’s devices. They instead support H.264 and H.265.
In 2015, the Alliance for Open Media (AOMedia) was formed. During this time Google was working on VP10, Mozilla (Xiph) was working on Daala and Cisco was working on Thor. Instead of creating three separate codecs and frustrated by the limitations of royalties, they decided to join, therefore AV1 was created. Together, their goal was to attain 30% more efficiency than shown previously in VP9, but just like VP9, to also remain royalty free. All AOMedia members offered up their related patents to contribute to a patent defense programme.
While the AV1 codec is finalised, there is still work being done, but it seems the codec is starting to be adopted by big industry players and will continue to be in the future.
Future of Codecs
The current state of codecs seems relatively simple: AAC for audio, and H.264 are necessary for a broader reach. H.264 is a fallback for older devices, VP9 has no iOS support and AV1 still has a way to go before it can be put into regular production and usage. So in the cases where just one codec won’t suffice, what is the solution? The multi-codec approach is a must in these situations. For example, Twitch, today’s most popular video live streaming service, currently uses H.264 and VP9, but are hoping to switch to AV1 in the future.
Another example is Netflix, who have just recently announced that they have started streaming AV1 on their Android App, which boasts a 20% increased compression efficiency over VP9. However, it's only enabled in places where CPU power is way cheaper than bandwidth, for example when a viewer is streaming over 4G. Netflix is aiming to use AV1 for all platforms in the future.
Versatile Video Coding, or VVC is a new standard by MPEG. The goal of VVC is to achieve 50% efficiency over HEVC, along with other improvements. However, in reality, most as expecting to see a 30-40% efficiency over HEVC. VVC will provide better support for gaming and screen sharing, 360º video and resolution switching in video.
Essential Video Coding, or EVC is another new standard by MPEG, with the goal to achieve the same or similar efficiency as that of HEVC. EVC will be suitable for realtime encoding and decoding. This standard is made specifically for offline encoding for streaming VOD and live OTT streaming, and aims to be a “licensing-friendly” codec.
A hybrid codec is essentially a codec which works on top of another codec. The process usually follows these steps:
- take an input video
- use proprietary downscaler on the video (e.g. go from 1080p to 480p)
- encode downscaled video
- decode the video on the player
- upscale the decoded image using proprietary upscaler
This can often result in a 20-40% bitrate reduction.
P+ (Previously known as PERSEUS Plus)
P+, created by V-Nova, is being actively used today. For example, the use of this hybrid codec can give a 30-50% bandwidth reduction while using it on top of the H.264 codec. Perseus has the advantage of saving in the scale of HEVC without having to redo the whole encoding pipeline, and it also has hardware decoding on iOS and Android. With that said, using P+ to decode on the web can be challenging, drains the battery, and does not currently work with DRM, but that will change. This hybrid codec is currently being rebranded as LCEVC, which should work with DRM once integrated into hardware.
ENHANCEplayer is a joint and still ongoing innovation project between Artomatix and THEO Technologies. The hybrid codec utilises Artomatix’s ‘Artomatix Enhance AI to upscale the image resolution, remove compression artifacts and remove the noise. This essentially means "superresolution" generation with a neural network (NN) or an AI. The NN is trained to enhance the image and add details which were lost during compression. The goal is to reach 40ms to get a framerate of 25fps. The biggest challenges are with fidelity, meaning the image before compression is the same after enhancement, and it is still difficult to do while DRM is in play.
Do you have more questions about video encoding or want to know more about what’s to come? Get in contact with one of our THEO experts to get personalised information and advice.
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