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Streaming video compression artifacts
Streaming video compression artifacts










streaming video compression artifacts

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streaming video compression artifacts

These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. While it learns the noise signatures of the various encoding standards, BitClear does not need to know the history of the specific asset: it can process any highly-compressed content and produced a higher-quality output that improves the value of the asset. Through bespoke neural network designs that optimally learn to disentangle the noise from the data manifolds, BitClear is able to remove compression noise and retain or recover the original content features. Other applications of BitClear include real-time de-noising before transcoding and broadcasting of live game streams, live sports, entertainment, and virtual reality feeds. Its AI nature and implementation efficiency means it can be deployed at scale without the need for human inspection or tuning.” “BitClear is designed to achieve the maximum quality improvement by alleviating the effect of compression artifacts. “For social media or UGC distribution and streaming companies, it is imperative that video content is presented in as high quality as possible to retain audiences,” he continued. This process tends to make it very degraded or even unwatchable due to multiple transcoding iterations. “Quite often, UGC that is viewed by millions of people over multiple social media platforms has been re-shared and re-uploaded numerous times.

streaming video compression artifacts

“The huge traffic in shared video content today passes through several platforms and users before potentially reaching a large audience or big influencers,” explained Sergio Grce, CEO and founder of iSIZE. The process can also allow for video upscaling, all with as little as 5ms processing latency on GPUs or high-performance CPUs. Video content that has been through multiple transcoding iterations can be revived to the maximum possible quality without affecting the artistic intent of the original creators. ISIZE, a market innovator in deep learning for video delivery, has developed BitClear, an AI-based video processing technology that removes compression artifacts (like blurring and blocking artifacts) from user-generated (or heavily-compressed) content.












Streaming video compression artifacts