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Proceedings Paper

Subjective video quality assessment methods for recognition tasks
Author(s): Carolyn G. Ford; Mark A. McFarland; Irena W. Stange
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Paper Abstract

To develop accurate objective measurements (models) for video quality assessment, subjective data is traditionally collected via human subject testing. The ITU has a series of Recommendations that address methodology for performing subjective tests in a rigorous manner. These methods are targeted at the entertainment application of video. However, video is often used for many applications outside of the entertainment sector, and generally this class of video is used to perform a specific task. Examples of these applications include security, public safety, remote command and control, and sign language. For these applications, video is used to recognize objects, people or events. The existing methods, developed to assess a person's perceptual opinion of quality, are not appropriate for task-based video. The Institute for Telecommunication Sciences, under a program from the Department of Homeland Security and the National Institute for Standards and Technology's Office of Law Enforcement, has developed a subjective test method to determine a person's ability to perform recognition tasks using video, thereby rating the quality according to the usefulness of the video quality within its application. This new method is presented, along with a discussion of two examples of subjective tests using this method.

Paper Details

Date Published: 10 February 2009
PDF: 11 pages
Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 72400Z (10 February 2009); doi: 10.1117/12.805371
Show Author Affiliations
Carolyn G. Ford, Institute for Telecommunication Sciences (United States)
Mark A. McFarland, Institute for Telecommunication Sciences (United States)
Irena W. Stange, Institute for Telecommunication Sciences (United States)

Published in SPIE Proceedings Vol. 7240:
Human Vision and Electronic Imaging XIV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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