C
Chen Li
Researcher at Beihang University
Publications - 11
Citations - 706
Chen Li is an academic researcher from Beihang University. The author has contributed to research in topics: Video quality & Mean opinion score. The author has an hindex of 9, co-authored 11 publications receiving 429 citations.
Papers
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Journal ArticleDOI
State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression
TL;DR: This article reviews both datasets and visual attention modelling approaches for 360° video/image, which either utilize the spherical characteristics or visual attention models, and overviews the compression approaches.
Journal ArticleDOI
Assessing Visual Quality of Omnidirectional Videos
TL;DR: A new database is presented, which includes the viewing direction data from several subjects watching omnidirectional video sequences, and a subjective VQA method for measuring the difference mean opinion score (DMOS) of the whole and regional omnid Directional video, in terms of overall DMOS and vectorized DMOS, respectively.
Proceedings ArticleDOI
Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model
TL;DR: A deep learning model is developed, which embeds HM and EM, for objective VQA on omnidirectional video, and Experimental results show that the model significantly improves the state-of-the-art performance of V QA on Omnidirectionals video.
Posted Content
State-of-the-art in 360{\deg} Video/Image Processing: Perception, Assessment and Compression
TL;DR: In this article, the authors review the state-of-the-art works on 360° video/image processing from the aspects of perception, assessment and compression, and summarize this overview paper and outlook the future research trends.
Proceedings ArticleDOI
A subjective visual quality assessment method of panoramic videos
TL;DR: A subjective VQA method for assessing quality loss of impaired panoramic videos, in the forms of both overall and vectorized DMOS metrics, is effective in measuring subjective quality of panoroscopic videos.