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Proceedings Paper

Perceptual study of the impact of varying frame rate on motion imagery interpretability
Author(s): Charles Fenimore; John Irvine; David Cannon; John Roberts; Ivelisse Aviles; Steven Isreal; Michelle Brennan; Larry Simon; James Miller; Donna Haverkamp; Paul F. Tighe; Michael Gross
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Paper Abstract

The development of a motion imagery (MI) quality scale, akin to the National Image Interpretibility Rating Scale (NIIRS) for still imagery, would have great value to designers and users of surveillance and other MI systems. A multiphase study has adopted a perceptual approach to identifying the main MI attributes that affect interpretibility. The current perceptual study measured frame rate effects for simple motion imagery interpretation tasks of detecting and identifying a known target. By using synthetic imagery, there was full control of the contrast and speed of moving objects, motion complexity, the number of confusers, and the noise structure. To explore the detectibility threshold, the contrast between the darker moving objects and the background was set at 5%, 2%, and 1%. Nine viewers were to detect or identify a moving synthetic "bug" in each of 288 10-second clip. We found that frame rate, contrast, and confusers had a statistically significant effect on image interpretibility (at the 95% level), while the speed and background showed no significant effect. Generally, there was a significant loss in correct detection and identification for frame rates below 10 F/s. Increasing the contrast improved detection and at high contrast, confusers did not affect detection. Confusers reduced detection of higher speed objects. Higher speed improved detection, but complicated identification, although this effect was small. Higher speed made detection harder at 1 Frame/s, but improved detection at 30 F/s. The low loss of quality at moderately lower frame rates may have implications for bandwidth limited systems. A study is underway to confirm, with live action imagery, the results reported here with synthetic.

Paper Details

Date Published: 9 February 2006
PDF: 9 pages
Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570P (9 February 2006); doi: 10.1117/12.651124
Show Author Affiliations
Charles Fenimore, National Institute of Standards and Technology (United States)
John Irvine, Science Applications International Corp. (United States)
David Cannon, Science Applications International Corp. (United States)
John Roberts, National Institute of Standards and Technology (United States)
Ivelisse Aviles, National Institute of Standards and Technology (United States)
Steven Isreal, Science Applications International Corp. (United States)
Michelle Brennan, Moriarty and Associates (United States)
Larry Simon, Science Applications International Corp. (United States)
James Miller, Science Applications International Corp. (United States)
Donna Haverkamp, Science Applications International Corp. (United States)
Paul F. Tighe, Booz, Allen, and Hamilton (United States)
Michael Gross, Booz, Allen, and Hamilton (United States)


Published in SPIE Proceedings Vol. 6057:
Human Vision and Electronic Imaging XI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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