# Image and Video Quality Assessment

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/image-and-video-quality-assessment-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 473,700 |
| Description | This cluster of papers focuses on the assessment of image and video quality, covering topics such as perceptual quality, no-reference assessment, deep learning, structural similarity index, HTTP adaptive streaming, blur assessment, and quality of experience in multimedia content. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T11165 |
| Works | 33,132 |

## Topic researchers

Showing 12 of 20.

- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Alan C. Bovik](https://scholariq.org/researchers/alan-c-bovik/)
- [Jure Leskovec](https://scholariq.org/researchers/jure-leskovec/)
- [Lei Zhang](https://scholariq.org/researchers/lei-zhang-4/)
- [Ming–Hsuan Yang](https://scholariq.org/researchers/ming-hsuan-yang/)
- [Hideo Hosono](https://scholariq.org/researchers/hideo-hosono/)
- [Qiang Yang](https://scholariq.org/researchers/qiang-yang/)
- [Xiaoou Tang](https://scholariq.org/researchers/xiaoou-tang/)
- [Dacheng Tao](https://scholariq.org/researchers/dacheng-tao/)
- [Zhou Wang](https://scholariq.org/researchers/zhou-wang-2/)
- [Xuemin Shen](https://scholariq.org/researchers/xuemin-shen/)
- [Ion Stoica](https://scholariq.org/researchers/ion-stoica/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.