Over the last three decades, advances in video coding algorithms have led to ever improving compression rates. With video occupying more than 80% of all IP traffic by 2022, the end of the quest for bitrate saving is not in sight: every network upgrade is quickly diminished by the increasing demand for content. A multitude of different video coding standards are available to tackle this issue, with every codec generation aiming at 30-50% increase in compression efficiency at the expense of increasing complexity. The latter aspect means that new standards are being adopted very slowly: for instance, while MPEG HEVC was standardized in 2013, its high licensing fees and complexity (especially for HD and 4K content) have not yet allowed for wide adoption.
Where does iSize fit in? iSize is the first company to offer proprietary machine learning solutions for substantial bitrate or quality gains in video compression. Beyond its performance, what makes our solution stand out is that it is compatible with any existing video coding infrastructure. Therefore, it can:
boost the compression efficiency of any video codec;
run on client devices with minimal or no additional overhead;
offer significant computational and energy efficiency for video encoding on resource-constrained devices (drones, action-cams, smartphones, etc.).
These advantages allow our clients to seamlessly integrate our solution and benefit from bitrate saving and quality improvement for their video delivery services.
Find out more about the Intel® Distribution of OpenVINO™ toolkit