Multi-screen limitation: In real-world conditions, the increased processing power needed for H.265 reduces capacity for simultaneous live view and playback. Where real-time image monitoring is a key requirement, this impact in terms of latency can be a significant issue, effectively ruling out H.265 adoption where low latency is critical for the time being. The more complex the encoded video is the longer this takes. decoding the data into a usable, viewable image. Also, decompression has to be factored in i.e. Latency: The more complex the encoding algorithm, the greater the image latency. Some authorities on the topic estimate that the added encoding complexity of H.265 requires up to 10 times more computing power than H.264. Processing power: To compress images more aggressively, increased processing is required, and that in turn uses more power. While H.265 is technically available, mass adoption is still a distance away because the superior compression capabilities are accompanied by other important considerations and factors. However, the caveat ‘in theory’ is important here as there are drawbacks associated with adopting H.265. With H.265, that problem can, in theory, be eliminated. Until now, compressing 4K camera footage in order to reduce bit rate for faster streaming and reduced storage requirements has often resulted in poorer picture quality than less heavily compressed HD footage.
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In simple terms, 4K cameras could result in files four times bigger than normal 1080p (Full HD), which has huge implications for how that data is handled.
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The arrival and adoption of 4K technology has been a key driver in the development of H.265. As well as expanding the areas examined for changes or pattern comparison from 16 x 16 pixel to sizes up to 64 x 64, capabilities such as motion compensation, spatial prediction, and sample adaptive offset (SAO) image filtering have all been enhanced as part of the compression algorithm. The difference is that with H.265 this process is more aggressive.
rather than encoding every pixel from every frame, bandwidth usage is minimized by identifying static areas (that do not alter from frame to frame) so that detailed encoding can be applied to areas that are actually changing. H.265 compression is based on the same principles as H.264 i.e. Similarly, retaining the same bit rate enables much-improved image quality.
The ultimate aim of this standard is to offer the same, or improved, picture quality but with increased compression efficiencies to make large data files more manageable and reduce the overall storage burden.Įstimates vary regarding the potential savings, as multiple factors will impact real-world results, but as a guideline field tests commonly show that H.265 can decrease bit rate requirements and associated storage needs by approximately 30% with no perceived loss to video quality. H.265, or High Efficiency Video Coding (HEVC) as it is sometimes referred to, is the latest standard in video coding and is an advancement of H.264, also known as Advanced Video Coding (AVC).
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