no code implementations • 3 Jan 2023 • Yipeng Liu, Qi Yang, Yiling Xu
Specifically, we use the attribute and geometry quantization steps of different compression methods (i. e., V-PCC, G-PCC and AVS) to infer the point cloud quality, assuming that the point clouds have no other distortions before compression.
no code implementations • 29 Oct 2022 • Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu
To extract effective features for PCQA, we propose a new graph convolution kernel, i. e., GPAConv, which attentively captures the perturbation of structure and texture.
no code implementations • 10 Oct 2022 • Yujie Zhang, Qi Yang, Yifei Zhou, Xiaozhong Xu, Le Yang, Yiling Xu
Full-reference point cloud quality assessment (FR-PCQA) aims to infer the quality of distorted point clouds with available references.
no code implementations • 30 Sep 2022 • Zhengyu Wang, Yujie Zhang, Qi Yang, Yiling Xu, Jun Sun, Shan Liu
Considering the importance of saliency detection in quality assessment, we propose an effective full-reference PCQA metric which makes the first attempt to utilize the saliency information to facilitate quality prediction, called point cloud quality assessment using 3D saliency maps (PQSM).
no code implementations • 26 Sep 2022 • Tingyu Fan, Linyao Gao, Yiling Xu, Dong Wang, Zhu Li
Besides, we propose a residual coding framework for the compression of the latent variable, which explores the spatial correlation of each layer by progressive downsampling, and model the corresponding residual with a fully-factorized entropy model.
no code implementations • 4 Aug 2022 • Ming Cheng, Yiling Xu, Wang Shen, M. Salman Asif, Chao Ma, Jun Sun, Zhan Ma
We utilize a disparity network to transfer spatiotemporal information across views even in large disparity scenes, based on which, we propose disparity-guided flow-based warping for LSR-HFR view and complementary warping for HSR-LFR view.
no code implementations • 2 May 2022 • Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang
This paper proposes a novel 3D sparse convolution-based Deep Dynamic Point Cloud Compression (D-DPCC) network to compensate and compress the DPC geometry with 3D motion estimation and motion compensation in the feature space.
no code implementations • 25 Apr 2022 • Guangchi Fang, Qingyong Hu, Yiling Xu, Yulan Guo
In addition, we also propose a deep conditional entropy model to estimate the probability distribution of the transformed coefficients, by incorporating temporal context from consecutive point clouds and the motion estimation/compensation modules.
1 code implementation • CVPR 2022 • Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo
Finally, the estimated probabilities are used to further compress these transform coefficients to a final attributes bitstream.
1 code implementation • CVPR 2022 • Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun
We present a novel no-reference quality assessment metric, the image transferred point cloud quality assessment (IT-PCQA), for 3D point clouds.
no code implementations • 15 Sep 2021 • Yipeng Liu, Qi Yang, Yiling Xu, Zhan Ma
Point cloud compression (PCC) has made remarkable achievement in recent years.
no code implementations • 26 Apr 2021 • Jiaoyang Yin, Yiling Xu, Hao Chen, Yunfei Zhang, Steve Appleby, Zhan Ma
Adaptive Bit Rate (ABR) decision plays a crucial role for ensuring satisfactory Quality of Experience (QoE) in video streaming applications, in which past network statistics are mainly leveraged for future network bandwidth prediction.
1 code implementation • 4 Mar 2021 • Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, Zhan Ma
In this paper, we propose a new distortion quantification method for point clouds, the multiscale potential energy discrepancy (MPED).
1 code implementation • 22 Dec 2020 • Yipeng Liu, Qi Yang, Yiling Xu, Le Yang
Full-reference (FR) point cloud quality assessment (PCQA) has achieved impressive progress in recent years.
Blind Image Quality Assessment Point Cloud Quality Assessment
1 code implementation • 31 May 2020 • Qi Yang, Zhan Ma, Yiling Xu, Zhu Li, Jun Sun
We propose the GraphSIM -- an objective metric to accurately predict the subjective quality of point cloud with superimposed geometry and color impairments.
no code implementations • 28 Sep 2019 • Ming Cheng, Zhan Ma, M. Salman Asif, Yiling Xu, Haojie Liu, Wenbo Bao, Jun Sun
This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rate (HSR-LFR) and another one captures a low spatial resolution and high frame rate (LSR-HFR) video.
no code implementations • 3 May 2019 • Ming Lu, Ming Cheng, Yiling Xu, ShiLiang Pu, Qiu Shen, Zhan Ma
Networked video applications, e. g., video conferencing, often suffer from poor visual quality due to unexpected network fluctuation and limited bandwidth.
no code implementations • 15 May 2018 • Zhen Ling, Kaizheng Liu, Yiling Xu, Chao GAO, Yier Jin, Cliff Zou, Xinwen Fu, Wei Zhao
The work in this paper raises the alarm again for the IoT device manufacturers to better secure their products in order to prevent malware attacks like Mirai.
Cryptography and Security