Abstract: An end-to-end rate-distortion optimized motion estimation method for robust video coding in lossy networks is proposed.
Dec 17, 2021 · Learned VC allows end-to-end rate-distortion (R-D) optimized training of nonlinear transform, motion and entropy model simultaneously. Most ...
Learned video compression allows end-to-end rate-distortion optimized training of all nonlinear modules, quantization parameter and entropy model simultaneously ...
End-to-End Rate-Distortion Optimized Motion Estimation | Semantic ...
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An end-to-end rate-distortion optimized motion estimation method for robust video coding in lossy networks is proposed. In this method the expected ...
The expected end-to- end distortion, rather than the source coding distortion, is employed in the rate-distortion optimization criterion. The accuracy of the ...
Dec 17, 2021 · Abstract—Conventional video compression (VC) methods are based on motion compensated transform coding, and the steps of motion estimation, mode ...
End-to-End Rate-Distortion Optimization for Bi-Directional ...
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Aug 11, 2020 · However, for motion estimation and compensation, they provide results with both optical flow estimation by Farnebäck's algorithm [19] and block ...
Learned VC allows end-to-end rate-distortion (R-D) optimized training of nonlinear transform, motion and entropy model simultaneously. Most works on learned VC ...
In this method the expected reconstructed distortion after transmission and the total bit rate for displaced frame difference are estimated at the encoder. The ...
Oct 22, 2024 · This process uses previously selected optimized motion vectors and their corresponding reference frames. It also considers intraprediction.