Frame-loss adaptive temporal pooling for video quality assessment

Shuai Wan, Fuzheng Yang, Xun Zhang, Chenglong Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper a frame-loss adaptive temporal pooling method for video quality assessment is proposed. Extensive subjective tests have been carried out to determine the duration of successive frames based on which steady quality judgment can be made by human observers. The resulting duration is applied to the determination of the length of Group of Frames (GOF), where a flexible algorithm is used to separate the input video into variable sized GOFs. Short-term temporal pooling is first performed for each of the GOF to get the GOF quality, where quality contribution of each frame is incorporated with the context and frame loss well taken into account. The video quality is then obtained by long-term temporal pooling of the GOF quality considering the fact that perceptual video quality is predominately determined by the worst parts of the video. Extensive experimental results have demonstrated the effectiveness of the proposed method both for regular and irregular frame loss.

Original languageEnglish
Title of host publicationVisual Communications and Image Processing 2010
DOIs
StatePublished - 2010
EventVisual Communications and Image Processing 2010 - Huangshan, China
Duration: 11 Jul 201014 Jul 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7744
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing 2010
Country/TerritoryChina
CityHuangshan
Period11/07/1014/07/10

Keywords

  • Frame loss
  • Temporal pooling
  • Video quality assessment

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