
H.264 OR H.265? Part 2

Optimized H.264 encoding technologies
Despite the above arguments, the main reason we believe that H.265 will not become the dominant encoding solution anytime soon is the simple lack of demand – several innovative vendors have implemented optimized H.264 encoding technologies. and the need for H .265 remains simply no. This fact can be called “a solution to a problem that has not yet arisen”.
Optimized H.264 technologies use predictive coding to reduce the bit rate spent on an unchanging background image.
Since the launch of H.264 technology in 2003, the security industry has been developing high-performance video encoders in an effort to improve image quality for video surveillance systems. Add to this the growing popularity of high-quality video, increasing demands for bit rate and resolution, and it becomes clear that the cost of the components of the system as a whole has increased. The large amount of video data captured by CCTV cameras means that users must invest in increasing storage requirements.
Predictive coding
How is the H.264 codec improved? First, basic research on video compression is being done in various industries. For example, in any video from cameras, users first pay attention to moving objects and then to the static part of the image. If the background does not change, it can be encoded as a keyframe. Optimized H.264 technologies use predictive coding to reduce the bit rate spent on a static background image. By applying this predictive coding throughout the system, users save significant bandwidth and storage costs.
Noise reduction
Another important element of H.264 optimization is noise reduction.
Noise or unwanted electrical signal displayed in the video stream is serious interference to the digital video signal. This leads to the fact that many strange pixels appear in the background of the image, caused by fluctuations in light, temperature or other signals in the air. But optimized H.264 technologies using mining algorithms suppress most of the noise by encoding the foreground object in the image at a higher bit rate relative to the background image. The result: sharp, color-accurate images.
Long-term bit rate control
Finally, the bitrate requirements for a particular scene can fluctuate throughout the day. For example, in a typical street scene at night, there is little movement in the foreground, so the bitrate requirements are low. During the day, the demands are greatly increased by vehicles and pedestrians moving in the foreground and in the background. Modern H.264 encoding technologies manage this timing by calculating the overall average bit rate and then automatically assigning the required bit rate at the time of day when needed. This happens at the level of the decoder set points. Here, the main benefit of long-term bitrate control is that users have the ability to accurately predict their video storage requirements in order to measure the required storage size.
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Today, these advantages of H.264 exceed what the H.265 standard offers. Among other things, H.264 has other advantages: compatibility with existing systems, lower cost of production, a wider range of products in which the codec can be applied, and less patent risk.
Video compression designs tend to adhere to a cycle of approximately 10 years. In 1994, the MPEG2 format was introduced. H.264 was released in 2003 and H.265 was released in 2013. In this case, the historical context is important because video encoding standards respond not only to technological change, but also to trends in the video industry. When the MPEG2 format was the standard, the industry focused mainly on DVD players and TV resolutions where this format was used. The emergence of H.264 coincided with the introduction of HD technology, advanced IT technologies, and the mobile Internet.
H.264 uses include HD digital TV, Internet video, mobile video, CCTV, Blu-ray, and more. Since H.265 is just entering the scene, we believe it will be the most widely used in ultra-HD technology. development and cloud storage applications.
















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