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Automatic Test Methods for Image and Video Verification

Håkansson, Magnus LU and Rasmuson, Sverker LU (2013) In Master's theses in Mathematical Sciences FMA820 20131
Mathematics (Faculty of Engineering)
Abstract
In this thesis four methods for automatic verification of images and video on mobile platforms are developed. Both the case of recording images and video and the case of viewing images and video on the mobile lcd screen are considered. The first method is used to test the zoom function of the camera. It uses SURF decriptors along with clustering and histograms to determine which of six discrete zoom levels the current frame belongs to. The second method identifies color effects and color anomalies using histograms. The third method determines if the autofocus works correctly by measuring the average length of edges in the image. The fourth method is an artifact detection scheme using a non-reference implementation of the SSIM metric, used... (More)
In this thesis four methods for automatic verification of images and video on mobile platforms are developed. Both the case of recording images and video and the case of viewing images and video on the mobile lcd screen are considered. The first method is used to test the zoom function of the camera. It uses SURF decriptors along with clustering and histograms to determine which of six discrete zoom levels the current frame belongs to. The second method identifies color effects and color anomalies using histograms. The third method determines if the autofocus works correctly by measuring the average length of edges in the image. The fourth method is an artifact detection scheme using a non-reference implementation of the SSIM metric, used in conjunction with a for this purpose specially designed test setup. Together these methods form a tool kit for detecting the mnost common errors to occur in images and video during the development stage of mobile platforms. (Less)
Please use this url to cite or link to this publication:
author
Håkansson, Magnus LU and Rasmuson, Sverker LU
supervisor
organization
course
FMA820 20131
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Image analysis, test methods, verification, video
publication/series
Master's theses in Mathematical Sciences
report number
LUTFMA-3247-2013
ISSN
1404-6342
other publication id
2013:E28
language
English
id
3803449
date added to LUP
2013-09-20 12:19:03
date last changed
2013-09-20 12:19:03
@misc{3803449,
  abstract     = {In this thesis four methods for automatic verification of images and video on mobile platforms are developed. Both the case of recording images and video and the case of viewing images and video on the mobile lcd screen are considered. The first method is used to test the zoom function of the camera. It uses SURF decriptors along with clustering and histograms to determine which of six discrete zoom levels the current frame belongs to. The second method identifies color effects and color anomalies using histograms. The third method determines if the autofocus works correctly by measuring the average length of edges in the image. The fourth method is an artifact detection scheme using a non-reference implementation of the SSIM metric, used in conjunction with a for this purpose specially designed test setup. Together these methods form a tool kit for detecting the mnost common errors to occur in images and video during the development stage of mobile platforms.},
  author       = {Håkansson, Magnus and Rasmuson, Sverker},
  issn         = {1404-6342},
  keyword      = {Image analysis,test methods,verification,video},
  language     = {eng},
  note         = {Student Paper},
  series       = {Master's theses in Mathematical Sciences},
  title        = {Automatic Test Methods for Image and Video Verification},
  year         = {2013},
}