Traffic and video quality with adaptive neural compression - SpringerLink
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We present a novel neural method to achieve real-time adaptive compression of video. This tends to maintain a target quality of the decompressed image specified ...
We present a novel neural method to achieve real-time adaptive compression of video. This tends to maintain a target quality of the decompressed image ...
This work presents a novel neural method to achieve real-time adaptive compression of video that tends to maintain a target quality of the decompressed ...
Abstract. Video sequences are major sources of traffic for broadband ISDN networks, and video compression is fun- damental to the efficient use of such ...
Adaptive Technique for ATM Call Admission and Routing Control using Traffic Prediction by Neural Networks · On the multiplexing effects of the ATM traffic · Video ...
Abstract. Video sequences are major sources of traffic for Broadband ISDN networks, and video com- pression is fundamental to the efficient usage of such ...
May 14, 2024 · The resulting algorithm significantly improves compression performance and reduces the encoding time compared to the existing instant-adaptive ...
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This distortion estimator takes into account video characteristics, redundancy models, encoder settings, and channel packet error rate to accurately predict the ...
Adaptive bitrate (ABR) algorithms are the primary tool that con- tent providers use to optimize video quality. These algorithms run on client-side video players ...
We propose a novel framework to compress human- centric videos for both human viewing and machine analyt- ics. Our system uses three coding branches to ...