An empirical approach for estimating the effect of a transcoding aware preprocessor

Varoun Hanooman; Yeping Su; Neil Birkbeck; Balu Adsumilli; Anil Kokaram

doi:10.1117/12.2633578

3 October 2022 An empirical approach for estimating the effect of a transcoding aware preprocessor

Varoun Hanooman, Yeping Su, Neil Birkbeck, Balu Adsumilli, Anil Kokaram

Proceedings Volume 12226, Applications of Digital Image Processing XLV; 1222613 (2022) https://doi.org/10.1117/12.2633578
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Video compression is complicated by degradation in User Generated Content (UGC). Preprocessing the data before encoding improves compression. However the impact of the preprocessor depends not only on the codec and the filter strength of the preprocessor being used but also on the target bitrate of the encode and the level of degradation. In this paper we present a framework for modelling this relationship and estimating the optimal filter strength for a particular codec/preprocessor/bitrate/degradation combination. We examine two preprocessors based on classical and DNN ideas, and two codecs AV1, VP9. We find that up to 2dB of quality gain can result from preprocessing at constant bitrate and our estimator is accurate enough to capture most of these gains.

Conference Presentation

Citation Download Citation

Varoun Hanooman, Yeping Su, Neil Birkbeck, Balu Adsumilli, and Anil Kokaram "An empirical approach for estimating the effect of a transcoding aware preprocessor", Proc. SPIE 12226, Applications of Digital Image Processing XLV, 1222613 (3 October 2022); https://doi.org/10.1117/12.2633578

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