TY - GEN
T1 - Measuring the Influence of Image Preprocessing on the Rate-Distortion Performance of Video Encoding
AU - Hofbauer, Markus
AU - Kuhn, Christopher B.
AU - Petrovic, Goran
AU - Steinbach, Eckehard
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we conduct an extensive analysis of the rate-distortion (RD) performance achieved by using different preprocessing steps before encoding the video. We propose a novel evaluation method called the Mean Saving-Cost Ratio (MSCR) to compare the RD performance for different preprocessing algorithms. We define MSCR as the logarithmic mean ratio of maximum bitrate savings over maximum quality cost for all parameters of a preprocessing algorithm.
AB - In this paper, we conduct an extensive analysis of the rate-distortion (RD) performance achieved by using different preprocessing steps before encoding the video. We propose a novel evaluation method called the Mean Saving-Cost Ratio (MSCR) to compare the RD performance for different preprocessing algorithms. We define MSCR as the logarithmic mean ratio of maximum bitrate savings over maximum quality cost for all parameters of a preprocessing algorithm.
KW - Image Preprocessing
KW - Video Coding
UR - http://www.scopus.com/inward/record.url?scp=85147540547&partnerID=8YFLogxK
U2 - 10.1109/ISM55400.2022.00030
DO - 10.1109/ISM55400.2022.00030
M3 - Conference contribution
AN - SCOPUS:85147540547
T3 - Proceedings - 2022 IEEE International Symposium on Multimedia, ISM 2022
SP - 151
EP - 152
BT - Proceedings - 2022 IEEE International Symposium on Multimedia, ISM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Symposium on Multimedia, ISM 2022
Y2 - 5 December 2022 through 7 December 2022
ER -