How to Achieve High Quality Videos with Low Bandwidth Part 2
In contrast, a variable bitrate preset a certain level of image quality that is maintained regardless of whether there is movement in the frame or not. The bit rate will change depending on the shooting conditions and the presence of motion.
Dynamic Noise Reduction, as described above, works on the same principle as Variable Bitrate, but with the addition of smart decision-making capabilities based on the presence or absence of motion. This can reduce the bit rate by 50 percent compared to the standard variable bit rate in non-motion scenes.
Priorization
In addition to reducing noise, prioritization can help lower bit rates. By setting priority areas, you adapt the level of compression for different parts of the image. In the image, you can mark several areas, each of which is assigned the parameters of the compression level. A less important area can be configured to use a higher compression rate and therefore a lower bit rate, while important areas can be assigned a lower compression rate to display in more detail.
Take, for example, video surveillance at the entrance of a building. Some parts of the image showing the sky can be considered unimportant for better compression. The area at the entrance of a building can be marked as important and assigned a lower compression ratio to ensure recognition of facial features and other identifying details. Finally, the driveway can be defined as a zone with normal compression.
Reduce costs with dynamic noise cancellation
The combination of noise reduction and image area prioritization produces measurable results. The key advantage of this combination is that you get a significantly lower bit rate without losing image quality. A lower bitrate, in turn, reduces bandwidth and memory usage.
Take, for example, a shopping center with a video surveillance system with 200 surveillance cameras installed throughout the premises inside and outside the facility. Let’s say the mandatory requirement for 1080p HD video surveillance cameras is to record continuously for 12 hours every day, and after the mall closes, they can only record when motion is detected. In this case, to store the video recorded at a rate of 10 frames per second, you will need almost 70 TB, which will allow you to store it for 30 days. The introduction of surveillance cameras that use dynamic noise reduction can save more than 7 TB of required storage capacity. This translates to over $ 10,000 depending on the storage devices used …. Additional savings can also be achieved by adding priorities in certain areas, which will further reduce the bitrate.
Using dynamic noise reduction and priority targeting in small CCTV systems can provide the ability to record video at a higher frame rate for smoother video (when there are moving objects in the video) at the same cost.
Consider, for example, installing a CCTV system in a retail store with 10 CCTV cameras. Using ten indoor 720p HD video cameras, continuously recording for 12 hours every day, and after the store closes, recording when motion is detected, it can store video recorded at a frame rate of 10 frames per second for seven days using the storage device with a capacity of 4 TB. Now let’s look at the same scenario using the dynamic noise reduction method. With Dynamic Noise Reduction, you can stream video at 20 fps and achieve the same storage time using the same 4 TB storage device. You get smoother video movement for the same price.
The ability to reduce bitrate and therefore bandwidth and memory will be even more important as the industry is moving towards the next generation of 4K images. This is characterized by even higher data volumes and therefore higher bandwidth and storage requirements. As a result, a solution that provides high-quality video with the lowest bandwidth and storage requirements will be the most affordable option for customers.
