TY - GEN
T1 - A Study of Video Super-Resolution Method Using Video Coded Data as Training Data
AU - Yano, Remina
AU - Liu, Yun
AU - Watanabe, Hiroshi
AU - Suzuki, Takuya
AU - Chujoh, Takeshi
AU - Ikai, Tomohiro
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper presents a study of video super resolution method by applying Deformable Convolution network to coded video. It is reported the effectiveness of using coded video as training data, and numerical and visual results of coded fine-tuned model. From those results, it is discussed the relationship between about characteristic of training data and especially in video's framerate. There it is shown that video sequence which has similar framerate with training data can perform higher PSNR, since low framerate means the motion between frames is large and Deformable Convolution can learn that large motion.
AB - This paper presents a study of video super resolution method by applying Deformable Convolution network to coded video. It is reported the effectiveness of using coded video as training data, and numerical and visual results of coded fine-tuned model. From those results, it is discussed the relationship between about characteristic of training data and especially in video's framerate. There it is shown that video sequence which has similar framerate with training data can perform higher PSNR, since low framerate means the motion between frames is large and Deformable Convolution can learn that large motion.
KW - Deformable Convolution
KW - Versatile Video Coding (VVC)
KW - video super resolution
UR - http://www.scopus.com/inward/record.url?scp=85123490595&partnerID=8YFLogxK
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U2 - 10.1109/GCCE53005.2021.9621883
DO - 10.1109/GCCE53005.2021.9621883
M3 - Conference contribution
AN - SCOPUS:85123490595
T3 - 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
SP - 278
EP - 279
BT - 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE Global Conference on Consumer Electronics, GCCE 2021
Y2 - 12 October 2021 through 15 October 2021
ER -