Results 271 to 280 of about 605,476 (307)

CNN-based in-loop filtering for coding efficiency improvement

2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016
A recent video coding standard, called High Efficiency Video Coding (HEVC), adopts two in-loop filters for coding efficiency improvement where the in-loop filtering is done by a de-blocking filter (DF) followed by sample adaptive offset (SAO) filtering.
Woon-Sung Park, Munchurl Kim
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Adaptive video coding in loop filter based on content

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003, 2003
In order to improve the quality and efficiency of video coding and decoding, it is of great significance to select a suitable loop filter scheme. In this paper, an adaptive scheme based on content is promoted, with several elements taken into consideration, which includes the correlation between two macroblocks, the average value of motion vector in ...
null Wang YanLai, null Yin BaoCai, null Kong DeHui   +2 more
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Context-based adaptive in-loop filter for video compression

Optical Engineering, 2012
We propose context-based adaptive in-loop filters not only to reduce complexity but also to achieve coding efficiency by combining deblocking and in-loop filters. The proposed adaptive filters are designed based on contexts such as slice types, boundary strength values, pixel positions, and boundary directions in order to improve coding gain.
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An Improved In-loop Deblocking Filter for Avs-P2

2010 International Conference on Electrical and Control Engineering, 2010
this paper presents an efficient in-loop deblocking filter algorithm which is based on human visual system to reduce blocking artifacts for AVS-P2 encoding. A theoretical analysis is performed to study the condition of boundary strength decision using human visual system characteristics for in-loop deblocking filter in AVS-P2.
Guang Ji, Qiuhai Zhong
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Dense Inception Attention Neural Network for In-Loop Filter

2019 Picture Coding Symposium (PCS), 2019
Recently, deep learning technology has made significant progresses in high efficiency video coding (HEVC), especially in in-loop filter. In this paper, we propose a dense inception attention network (DIA_Net) to delve into image information and model capacity. The DIA_Net contains multiple inception blocks which have different size kernels so as to dig
Xiaoyu Xu, Jian Qian, Li Yu, Hongkui Wang, Xing Zeng, Zhengang Li, Ning Wang   +6 more
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Ptr-Cnn for In-Loop Filtering in Video Coding

SSRN Electronic Journal, 2022
Tong Shao, Tianqi Liu, Dapeng Wu, Chia-Yang Tsai, Zhijun Lei, Ioannis Katsavounidis   +5 more
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Standardization Trends in CNN-Based In-Loop Filtering

2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2022
Hongil Kim, Hyun-Ku Kang, Seung-Won Jung
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Quadtree-based Guided CNN for AV1 In-loop Filtering

2022 IEEE International Conference on Image Processing (ICIP), 2022
Junjie Wang, Gongchun Ding, Dandan Ding, Debargha Mukherjee, Urvang Joshi, Yue Chen   +5 more
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Neural Network-based In-Loop Filter for CLIC 2022

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
Yonghua Wang, Jingchi Zhang, Zhengang Li, Xing Zeng, Zhen Zhang, Diankai Zhang, Yunlin Long, Ning Wang   +7 more
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Perceptual in-Loop Filter for Image and Video Compression

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
Huairui Wang, Guangjie Ren, Tong Ouyang, Junxi Zhang, Wenwei Han, Zizheng Liu, Zhenzhong Chen   +6 more
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