Type

Conference Proceedings

Authors

Songyang Lao
Zhenxing Zhang
Frank Hopfgartner
Cathal Gurrin
Jinlin Guo

Subjects

Computer Science

Topics
digital video end users user generated video optical flow multimedia systems quality assessment video quality irregular camera motion

Quality assessment of user-generated video using camera motion (2013)

Abstract With user-generated video (UGV) becoming so popular on theWeb, the availability of a reliable quality assessment (QA) measure of UGV is necessary for improving the users’ quality of experience in videobased application. In this paper, we explore QA of UGV based on how much irregular camera motion it contains with low-cost manner. A blockmatch based optical flow approach has been employed to extract camera motion features in UGV, based on which, irregular camera motion is calculated and automatic QA scores are given. Using a set of UGV clips from benchmarking datasets as a showcase, we observe that QA scores from the proposed automatic method and subjective method fit well. Further, the automatic method reports much better performance than the random run. These confirm the satisfaction of the automatic QA scores indicating the quality of the UGV when only considering visual camera motion. Furthermore, it also shows that the UGV quality can be assessed automatically for improving the end users quality of experience in video-based applications.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland -> Dublin City University -> Subject = Computer Science: Multimedia systems
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
Ireland -> Dublin City University -> Subject = Computer Science: Digital video
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Songyang Lao, Zhenxing Zhang, Frank Hopfgartner, Cathal Gurrin, Jinlin Guo

Experts in our system

1
Zhenxing Zhang
Dublin City University
Total Publications: 13
 
2
Frank Hopfgartner
Dublin City University
Total Publications: 23
 
3
Cathal Gurrin
Dublin City University
Total Publications: 238