Cited by 119Image and Video Quality AssessmentVideo Coding and Compression TechnologiesImage Retrieval and Classification Techniques

Video Quality Pooling Adaptive to Perceptual Distortion Severity

Park, Jincheol, Seshadrinathan, Kalpana, Lee, Sanghoon, Bovik, Alan Conrad·2013·IEEE Transactions on Image Processing

Abstract

It is generally recognized that severe video distortions that are transient in space and/or time have a large effect on overall perceived video quality. In order to understand this phenomena, we study the distribution of spatio-temporally local quality scores obtained from several video quality assessment (VQA) algorithms on videos suffering from compression and lossy transmission over communication channels. We propose a content adaptive spatial and temporal pooling strategy based on the observed distribution. Our method adaptively emphasizes "worst" scores along both the spatial and temporal dimensions of a video sequence and also considers the perceptual effect of large-area cohesive motion flow such as egomotion. We demonstrate the efficacy of the method by testing it using three different VQA algorithms on the LIVE Video Quality database and the EPFL-PoliMI video quality database.

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Crossref · 10.1109/tip.2012.2219551

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Authors
Park, J., Seshadrinathan, K., Lee, S., & Bovik, A. C.
Affiliations
  • Intel (United States) (US)
  • Yonsei University (KR)
  • The University of Texas at Austin (US)
Venue
IEEE Transactions on Image Processing
Published
2013-02
Volume
22
Issue
2
Pages
610-620
ISSN
  • 1057-7149 (ISSN-L)
  • 1941-0042
OpenAlex
W2074883210
Cited by
119
References
47
Citations by year
2025: 1 · 2024: 11 · 2023: 4 · 2022: 7 · 2021: 11 · 2020: 7 · 2019: 6 · 2018: 8 · 2017: 11 · 2016: 12 · 2015: 19 · 2014: 15 · 2013: 7
FWCI
13.51
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Image Processing (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
  • Physical Sciences › Computer Science › Signal Processing › Video Coding and Compression Technologies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
Keywords
video quality assessment, perceptual video quality, spatial pooling, temporal pooling, compression distortion, self-motion

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