Skip to main navigation Skip to search Skip to main content

Scene-Aware Soccer Video QoE Assessment - A Compressed-Domain Approach

  • Fan Li
  • , Yixin Mei
  • , Ziyi Liu
  • , Pamela Cosman
  • Xi'an Jiaotong University
  • University of California at San Diego

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

Abstract

The small screen of mobile devices and bandwidth limitations of communication networks greatly affect users' quality of experience (QoE), especially for soccer video, which is characterized by rapid movement and small objects. In this paper, a Compressed-domain Soccer Video Quality assessment Model (CSVQM) is proposed based on the fact that soccer video includes three distinct scene types, which cause different concerns for viewers. To reduce complexity and operate in real-time, all model parameters are derived from the compressed video stream without resorting to complete video decoding. The validation shows that CSVQM significantly outperforms conventional models in terms of accuracy, consistency, and complexity.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Multimedia and Expo, ICME 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538617373
DOIs
StatePublished - 8 Oct 2018
Event2018 IEEE International Conference on Multimedia and Expo, ICME 2018 - San Diego, United States
Duration: 23 Jul 201827 Jul 2018

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
Volume2018-July
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Conference

Conference2018 IEEE International Conference on Multimedia and Expo, ICME 2018
Country/TerritoryUnited States
CitySan Diego
Period23/07/1827/07/18

Keywords

  • Mobile video
  • QoE
  • compressed-domain
  • modeling
  • scene-aware
  • soccer video

Fingerprint

Dive into the research topics of 'Scene-Aware Soccer Video QoE Assessment - A Compressed-Domain Approach'. Together they form a unique fingerprint.

Cite this