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Video Compression

Video Compression is a process of reducing the size of an image or video file by exploiting spatial and temporal redundancies within an image or video frame and across multiple video frames. The ultimate goal of a successful Video Compression system is to reduce data volume while retaining the perceptual quality of the decompressed data.

Source: Adversarial Video Compression Guided by Soft Edge Detection

Papers

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Showing 191–200 of 496 papers

TitleStatusHype
Motion-Adaptive Inference for Flexible Learned B-Frame Compression—0
Immersive Video Compression using Implicit Neural RepresentationsCode0
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding—0
Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization—0
LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression—0
A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024—0
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression—0
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions—0
Motion Guided Token Compression for Efficient Masked Video Modeling—0
NU-Class Net: A Novel Approach for Video Quality Enhancement—0
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