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[期刊论文]

Blind consumer video quality assessment with spatial-temporal perception and fusion

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author:

Niu, Yuzhen (Niu, Yuzhen.) [1] (Scholars:牛玉贞) | Zheng, Yuming (Zheng, Yuming.) [2] | Wang, Zhenlong (Wang, Zhenlong.) [3] | Unfold

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EI Scopus SCIE

Abstract:

Blind quality assessment for user-generated content (UGC) or consumer videos is challenging in computer vision. Two open issues are yet to be addressed: how to effectively extract high-dimensional spatial-temporal features of consumer videos and how to appropriately model the relationship between these features and user perceptions within a unified blind video quality assessment (BVQA). To tackle these issues, we propose a novel BVQA model with spatial-temporal perception and fusion. Firstly, we develop two perception modules to extract the perceptual-distortion-related features separately from the spatial and temporal domains. In particular, the temporal-domain features are obtained with a combination of 3D ConvNet and residual frames for their high efficiencies in capturing the motion-specific temporal features. Secondly, we propose a feature fusion module that adaptively combines spatial-temporal features. Finally, we map the fused features onto perceptual quality. Experimental results demonstrate that our model outperforms other advanced methods in conducting subjective video quality prediction.

Keyword:

Consumer video Image quality assessment User generated content Video quality assessment

Community:

  • [ 1 ] [Niu, Yuzhen]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
  • [ 2 ] [Zheng, Yuming]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
  • [ 3 ] [Wang, Zhenlong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
  • [ 4 ] [Zhong, Mengzhen]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
  • [ 5 ] [Niu, Yuzhen]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 6 ] [Zhao, Tiesong]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • [Niu, Yuzhen]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China;;[Niu, Yuzhen]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China;;

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Related Article:

Source :

MULTIMEDIA TOOLS AND APPLICATIONS

ISSN: 1380-7501

Year: 2023

Issue: 7

Volume: 83

Page: 18969-18986

3 . 0

JCR@2023

3 . 0 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:32

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 1

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