video optimizer

Dissemination of 4K videos, how can I handle the heavy capacity?

Dell

There is one thing in common when we look at the characteristics of recently released electronic devices. It is that it is equipped with a ‘4K resolution display’. Thanks to this, the current 4K displays are rapidly becoming disseminated. In addition, YouTube, the world’s largest video platform, has high-definition standards of 4K, and the public is getting used to 4K video.

As the use of video content has soared, the video market is literally booming, and with the development of technology, the spread of 4K video can be seen as a natural phenomenon. However, this phenomenon may not be welcomed by content providers. This is due to the ‘capacity’ of the video content.

Is expensive equipment the best way to create excellent quality content?

As the demand for content increased, the supply has increased. In the midst of the abundance of content produced in a day, creators are fiercely competing to provide better contents. In addition to the dense composition of the story, the quality of the sound and screen has now become an important factor in the selection of content. That’s why creators around the world tend to produce video content in 4K. This is because 4K resolution videos are more competitive among numerous videos, which can increase demand.

As the video market becomes active, it is said that the demand for equipment and software needed to produce content is increasing. This is because most content creators are trying to provide better quality videos by building better production systems. But for 4K images to be produced, it costs more than what’s normally used. It can be made with expensive products such as 4K and 8K camera, HEVC real encoder, and equipment that enables 3D sound.

If it is difficult to produce 4K video content due to the burden of equipment, upscaling can also be used. The quality of the HD image improves to UHD quality when the content is filmed conveniently with the existing equipment, and the upscaling is done after editing. In addition, kokoon.cloud, which provides with an online upscaling service, enables 4K upscaling simply by uploading without having to install a separate program, allowing anyone to use it without any burden.

kokoon.cloud

A creator who produced 4K video, but the capacity is a problem?

However, even if expensive equipment is purchased or upscaling is used to create 4K content, another concern arises for creators. The capacity of video content will take up much more capacity than existing image content, and creators whose videos are professionally produced may feel burdened by the production due to the rapidly growing capacity of the video.

Most of the units of storage used today are terabytes (TB). However, terabytes have been lacking recently, the biggest cause of this phenomenon is ‘video.’ In particular, the capacity of 4K video that takes less than 30 minutes is close to 20GB, which can be considered to be almost 1GB per minute, so 60GB has to be given when a one-hour video is produced. In response to this, although the burden is slightly reduced with the advent of SSD and HDD, professional creators with a large number of contents that need to be produced regularly will feel the limit of storage space in a short period of time.

However, the lack of capacity does not mean that 4K resolution can be abandoned. Already, 4K video content has become disseminated to the public, and the level of viewing has increased, so image quality is important in order to gain a competitive edge in content. Especially if you’re a professional creator, you can’t give up on any of the elements that make up the content, the sound and image quality of the content. Therefore, what is needed most now is a solution that can make the capacity lighter as the image quality remains the same.

A magical solution that reduces data capacity by half while maintaining image quality

BLUEDOT has introduced ‘PQ-Optimizer’, a technology that optimizes cognitive image quality that reduces data while maintaining image quality. The self-developed AI is designed in such a way that the image is analyzed and preprocessed, so it can be applied regardless of the codec, and it finds and removes pixels that are unnecessary for the implementation of the quality of the image, which makes the difference in image quality almost not visible, allowing the data to be light. Thanks to the increased efficiency of the encoder compression, it solves the difficulties of lack of data capacity of video providers.

Conversely, if the usage of data becomes the same, it can implement higher picture quality. In addition, because less data is used, high-quality images can be reliably transmitted even if live streaming is done on an unstable network. Therefore, ‘PQ-Optimizer’ is a solution that allows creators whose videos are produced to be useful in various ways.

With the surge in demand for video content, the quality of video content has improved at a fast pace and is still ongoing. And there are many ways appearing to improve the quality of the video. With improved equipment, high-quality video content can be produced, but the use of the solution introduced in today’s posting can also be seen as an efficient production method to improve the quality of the video.

*Please contact the email below if you want more information about the ‘PQ-optimizer’ introduced in this post.

Contact: info@blue-dot.io

Same video quality, but the reduction incapacity

Video content is growing so fast that videos occupy more than 80% of the internet traffic. The mass is actively producing and watching video content. However, the growth of the video content market has some side effects on data. It has become difficult for both the creators that produce videos and video platforms, to handle the enormous capacity of video content.

Then what will be the solution to solve this problem? That is by reducing video data. But reducing video data leads to another problem which is the loss of video quality. Therefore, we need a technology that maintains video quality but reduces capacity.

The reason for the sudden loss of YouTube video quality.

출처: Chubo – my masterpiece / Shutterstock.com

When using YouTube recently, you can notice a big difference. In the past, when you played the video, the video was played in HD quality, but now they are played in lower quality, making us change it back up to HD quality. YouTube supports up to 4K videos, but why does it play it in low-quality videos in the beginning.

The problem is because of the ‘Data issue’. The biggest video platform YouTube tried to reduce the usage, of the sudden increase of the data of video contents by, playing low-quality videos rather than high-quality videos in default. This is an example that the data issue is a serious problem affecting our daily lives.

In addition, the use of smart TVs is also demanding more use of high-quality videos. People using smart TVs enjoy contents, such as YouTube and Netflix, which need high-quality videos. Low-quality videos are more disturbing on a larger screen than on mobile, making the importance of video quality bigger. This makes it impossible for us to give up either the capacity or quality of videos.

‘PQ-optimizer’ is a cognitive image quality optimization technology that save the data rate while maintaining the quality of the video

‘PQ-optimizer’ is a cognitive image quality optimization technology that save the data rate while maintaining the quality of the video. Using self-developed AI reduces data by deleting unnecessary pixels, making it possible to reduce data without the loss of quality.

optimized by PQ-Optimizer

For example, when the computer we use slows down, the first thing that comes to mind is ‘data’. By erasing data, we can make our computers work faster. So we naturally check the usage of data and erase unused documents to maintain data capacity. ‘PQ-optimizer’ also follows this principle allowing users to enjoy the video with lower capacity, by erasing unnecessary pixels in the video.

One thing to notice is that the name of this technology is “cognitive image quality”. In other words, the image quality isn’t the same. But it looks the same in the human eye. Based on the VMAF score released by NETFLIX, when checking the difference from the original video the video that was applied with PQ-optimizer had scored similar. It even had a higher image quality score when using the same amount of data.

The difference ‘PQ-optimizer’ can bring in daily life.

You can see that by using ‘PQ-optimizer’ we can improve coding efficiency to reduce the capacity of videos but maintain quality, allowing us to produce more video content. Thanks to this technology we can produce and enjoy video content freely. Since it uses less data, it can also transmit high-quality videos in unstable network conditions which can be useful in live streaming.

In addition, the PQ-optimizer is a pre-processing technology that can be applied before the encoding system and because it can be applied to all codecs, it does not need the expansion of any new codecs. It can also be encoded better in the same given data and has better encoding efficiency when the quality is the same.

New creators are emerging day by day and they are producing video content actively. The mass also enjoys a lot of video content. As the amount of content is increasing tremendously, we need to prepare for the usage of data. The ‘PQ-optimizer’ introduced today will be very useful in the upcoming data issue.

*Please contact the email below if you want more information about the ‘PQ-optimizer’ introduced in this post.

Contact: info@blue-dot.io