NVIDIA Has Developed AI Video Compression for Clearer Calls
Michael Hemsworth — October 8, 2020 — Tech
References: nvidia & geekologie
Low bandwidth is notorious for causing pixelated footage when on a video call, so this new AI video compression has been developed by the company to help make the most with minimal connectivity. The artificial intelligence (AI)-powered compression works by utilizing an algorithm to scan the face of the user to essentially create a deepfake of them that is then sent over instead of relaying actual content. This will allow ultra-precise video to be received by users to help them enjoy clearer imagery without the need for more bandwidth.
The AI video compression from NVIDIA identifies what can be done to help drastically enhance picture quality on video calls as they become one of the primary means of communication in the new normal.
The AI video compression from NVIDIA identifies what can be done to help drastically enhance picture quality on video calls as they become one of the primary means of communication in the new normal.
Trend Themes
1. AI Video Compression - The development of AI video compression technology presents disruptive innovation opportunities in the field of video conferencing and communication.
2. Low Bandwidth Optimization - The optimization of video calls in low bandwidth situations presents disruptive innovation opportunities in improving the user experience of video communication platforms.
3. Facial Recognition for Deepfake - The use of facial recognition technology for deepfake creation in video compression opens up disruptive innovation opportunities for enhancing video quality in a resource-efficient manner.
Industry Implications
1. Video Conferencing - The video conferencing industry has the opportunity to integrate AI video compression technology to deliver clearer and more efficient video calls with minimal bandwidth requirements.
2. Telecommunication - The telecommunication industry can leverage low bandwidth optimization techniques to improve the quality of video communication services even in areas with limited connectivity.
3. Artificial Intelligence - The AI industry can explore the use of facial recognition technology for deepfake creation in video compression to revolutionize the way video content is transmitted and received.
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