Due to the increasing consumption of more immersive video content with higher resolutions, the need for more efficient video compression techniques is starting to grow. Recently, new video compression ...

On today's episode of Unapologetically Angel, Angel welcomes JaNa Craig. Together they talk about joining Love Island, sharing bathrooms in the villa, & much more. Make sure you subscribe so you never ...

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Testing AV1 and VVC After a year of work on a codec optimised for streaming, processing time appears to be dropping significantly. Video compression is an asset that the broadcast industry heavily ...

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An open source Tensorflow implementation of the paper: Lu, Guo, et al. "DVC: An end-to-end deep video compression framework." Proceedings of the IEEE Conference on Computer Vision and Pattern ...

Abstract: Exploring temporal redundancy among frames is the most important task of video compression. However, exist neural video compression methods either only leverage information from a single ...

Abstract: Recent advances in end-to-end neural video compression (NVC) have attracted increasing attention due to their remarkable improvement in compression efficiency and adaptability. The accuracy ...

UAR-NVC is a unified autoregressive framework that integrates timeline-based and INR-based (Implicit Neural Representation) neural video compression paradigms. Our framework addresses the memory ...