CONCORD, Mass.--(BUSINESS WIRE)--EuclidIQ, a leader in video compression, is excited to announce a new U.S. patent grant on its latest technology that can help provide better quality video at low resolutions for emerging countries. The patent, titled “Perceptual Optimization for Model-Based Video Encoding,” uses artificial intelligence to mimic the processing of the human visual system by adapting encoding decisions based on perceived complexity within video frames.
As emerging countries increase their use of the Internet via mobile devices, providing quality video over constrained bandwidth is a top priority for EuclidIQ. The Perceptual Quality Optimization (PQO) technique described in the patent is one of two essential technologies included in EuclidIQ’s cloud-based Rithm transcoder that addresses the constrained bandwidth challenge. Rithm employs AI both in the pre-encoding and encoding phases of video compression. It optimizes bitrate pre-encoding for a desired quality level on a per-segment basis and uses PQO to adjust encoding decisions block-by-block based on what is most noticeable to the human visual system.
Nigel Lee, Chief Science Officer at EuclidIQ, commented, “Incorporating aspects of the human visual system into the encoding process has been the ‘holy grail’ of video compression technology development for some time now. Several companies have claimed to accomplish some form of this, but we believe (and extensive testing has shown) that our version of PQO effectively improves encoding efficiency significantly over standard encoders. In bandwidth-constrained scenarios, this can result in noticeable quality improvements over standard encodings. We are excited that this technology is now patented.” EuclidIQ continues to advance and protect its Intellectual property rights with patent filings in the US and around the world.