NN-based decision predictor of Reference Picture Resampling for video coding

"JVET has developed a new Enhanced Compression Model (ECM) for testing future video coding algorithms on top of the Versatile Video Coding (VVC) standard. Reference Picture Resampling (RPR) is a powerful tool that improves video coding efficiency of next generation like Versatile Video Coding (VVC). This feature is well designed to support frame changing resolution without inserting intra refresh picture. Video streaming and low delay scenarios can take advantage of RPR to ensure a smooth frame-based bit-rate adaptation, compared to traditional techniques that can generates bitrate leaps. In this paper, a neural network regressor to predict RPR decision is discussed, and adaptation of downscaling factor is proposed to improve VVC coding efficiency in the context of random access and all intra modes configurations. "

Abstract—Ubiquitous connectivity is vital for emerging appli cations like extended reality, factory automation, and robotics, necessitating low latency, high data rates, and reliability in both downlink and uplink. From the network protocol perspective, successfully supporting these new use cases hinges on the network being resilient enough to address the heterogeneous...

Our modes of communication are evolving to empower immersive content and increasingly incorporate haptics, or the sense of touch, into our connected experiences. This new modality extends our sensory engagement beyond our sight and hearing and unlocks an opportunity to add more depth and sense of immersion within connected communications,...

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