A perceptual video quality model for mobile platform considering impact of spatial, temporal, and amplitude resolutions

Yen Fu Ou, Yuanyi Xue, Zhan Ma, Yao Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we investigate the impact of spatial, temporal and amplitude resolution (STAR) on the perceptual quality of a compressed video. Subjective quality tests were carried out on the TI Zoom2 mobile development platform (MDP). Seven source sequences are included in the tests and for each source sequence we have 32 test configurations generated by JSVM encoder (4 QP levels, 5 spatial resolutions, and 3 temporal resolutions) and a total of 224 processed video sequences (PVSs). Videos coded at different spatial resolutions are displayed at the full screen size of the mobile platform. We report the impact of the spatial resolution (SR), temporal resolution (TR) and quantization stepsize (QS) on the perceptual quality, individually as well as jointly. We found that the impact of SR, TR and QS can each be captured by a function with a single content-dependent parameter. The joint impact of SR, TR and QS can be modeled by the product of these three functions. The complete model correlates well with the subjective ratings with a Pearson Correlation Coefficient (PCC) of 0.99.

Original languageEnglish (US)
Title of host publication2011 IEEE 10th IVMSP Workshop
Subtitle of host publicationPerception and Visual Signal Analysis, IVMSP 2011 - Proceedings
Pages117-122
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, IVMSP 2011 - Ithaca, NY, United States
Duration: Jun 16 2011Jun 17 2011

Publication series

Name2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, IVMSP 2011 - Proceedings

Other

Other2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, IVMSP 2011
Country/TerritoryUnited States
CityIthaca, NY
Period6/16/116/17/11

Keywords

  • Perceptual video quality
  • frame rate
  • quantization
  • scalable video
  • spatial resolution

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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