Presentation + Paper
4 October 2023 Encoder-aware motion compensated temporal filtering for video compression
Rahul Vanam, Sriram Sethuraman
Author Affiliations +
Abstract
In this paper, we present an encoder-aware motion compensated temporal pre-processing filter (EA-MCTF) that adapts the filter on a block-basis based upon the spatio-temporal content properties and block-level encoding parameters. Some sample parameters include block-level QP, variance and mean-squared error of motion compensated block difference, slice types of adjoining frames, and frequency of a block being used as a reference. Applying the EA-MCTF to a HEVC encoder yields -12.4% average VMAF BD-rate savings over unfiltered encodings, and furthermore, the EA-MCTF yields a superior BD-rate and computational complexity performance over the MCTF available in the HEVC reference software.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rahul Vanam and Sriram Sethuraman "Encoder-aware motion compensated temporal filtering for video compression", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 126740J (4 October 2023); https://doi.org/10.1117/12.2681958
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KEYWORDS
Tunable filters

Video coding

Video

Video compression

Motion estimation

Design and modelling

Quantization

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