IBVC: Interpolation-driven B-frame Video Compression
Chenming Xu, Meiqin Liu, Chao Yao, Weisi Lin, Yao Zhao

TL;DR
IBVC introduces a novel B-frame video compression method that leverages interpolation and artifact reduction, avoiding optical-flow quantization and improving coding efficiency over state-of-the-art methods.
Contribution
The paper proposes a new IBVC framework that uses interpolation-driven motion compensation and residual masking, significantly enhancing B-frame compression performance.
Findings
Outperforms state-of-the-art B-frame coding methods.
Reduces bit-rate compared to H.266 RA configuration.
Achieves significant quality improvements in experiments.
Abstract
Learned B-frame video compression aims to adopt bi-directional motion estimation and motion compensation (MEMC) coding for middle frame reconstruction. However, previous learned approaches often directly extend neural P-frame codecs to B-frame relying on bi-directional optical-flow estimation or video frame interpolation. They suffer from inaccurate quantized motions and inefficient motion compensation. To address these issues, we propose a simple yet effective structure called Interpolation-driven B-frame Video Compression (IBVC). Our approach only involves two major operations: video frame interpolation and artifact reduction compression. IBVC introduces a bit-rate free MEMC based on interpolation, which avoids optical-flow quantization and additional compression distortions. Later, to reduce duplicate bit-rate consumption and focus on unaligned artifacts, a residual guided masking…
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Taxonomy
TopicsAdvanced Vision and Imaging · Advanced Image Processing Techniques · Image Processing Techniques and Applications
MethodsFocus
