activity
20152025
most citedA JND-based Video Quality Assessment Model and Its Application

4 citations · 12 across the 8 of their papers we have counts for

collaborators

9 papers

eess.IV2025

Frequency-Assisted Adaptive Sharpening Scheme Considering Bitrate and Quality Tradeoff

Yingxue Pang, Shijie Zhao, Haiqiang Wang +3

Sharpening is a widely adopted technique to improve video quality, which can effectively emphasize textures and alleviate blurring. However, increasing the sharpening level comes w…

cs.CV2023

TSMD: A Database for Static Color Mesh Quality Assessment Study

Qi Yang, Joel Jung, Haiqiang Wang +2

Static meshes with texture map are widely used in modern industrial and manufacturing sectors, attracting considerable attention in the mesh compression community due to its huge a…

eess.IV2019

C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

Munan Xu, Junming Chen, Haiqiang Wang +3

Traditional video quality assessment (VQA) methods evaluate localized picture quality and video score is predicted by temporally aggregating frame scores. However, video quality ex…

cs.MM2018★ 1 cited

A user model for JND-based video quality assessment: theory and applications

Haiqiang Wang, Ioannis Katsavounidis, Xinfeng Zhang +2

The video quality assessment (VQA) technology has attracted a lot of attention in recent years due to an increasing demand of video streaming services. Existing VQA methods are des…

cs.MM2018★ 4 cited

A JND-based Video Quality Assessment Model and Its Application

Haiqiang Wang, Xinfeng Zhang, Chao Yang +1

Based on the Just-Noticeable-Difference (JND) criterion, a subjective video quality assessment (VQA) dataset, called the VideoSet, was constructed recently. In this work, we propos…

cs.MM2018★ 2 cited

Analysis and prediction of JND-based video quality model

Haiqiang Wang, Xinfeng Zhang, Chao Yang +1

The just-noticeable-difference (JND) visual perception property has received much attention in characterizing human subjective viewing experience of compressed video. In this work,…

cs.MM2017★ 3 cited

Prediction of Satisfied User Ratio for Compressed Video

Haiqiang Wang, Ioannis Katsavounidis, Qin Huang +2

A large-scale video quality dataset called the VideoSet has been constructed recently to measure human subjective experience of H.264 coded video in terms of the just-noticeable-di…

cs.MM2017

VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement

Haiqiang Wang, Ioannis Katsavounidis, Jiantong Zhou +11

A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed. Several small JND-based image/video quality datasets were relea…

cs.MM2015★ 2 cited

A GMM-Based Stair Quality Model for Human Perceived JPEG Images

Sudeng Hu, Haiqiang Wang, C. -C. Jay Kuo

Based on the notion of just noticeable differences (JND), a stair quality function (SQF) was recently proposed to model human perception on JPEG images. Furthermore, a k-means clus…