Loss of interpretability due to compression effects as measured by the new video NIIRS

Darrell Young; Tariq Bakir; Robert Butto Jr.; Charles Duffield; Fred Petitti

doi:10.1117/12.838644

18 January 2010 Loss of interpretability due to compression effects as measured by the new video NIIRS

Darrell Young, Tariq Bakir, Robert Butto Jr., Charles Duffield, Fred Petitti

Proceedings Volume 7529, Image Quality and System Performance VII; 75290V (2010) https://doi.org/10.1117/12.838644
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

The effect of video compression is examined using the task-based performance metrics of the new Video National Intelligence Interpretability Rating Scale (Video NIIRS). Video NIIRS is a subjective task criteria scale similar to the well-known Visible NIIRS used for still image quality measurement. However, each task in the Video NIIRS includes a dynamic component that requires video of sufficient spatial and temporal resolution. The loss of Video NIIRS due to compression is experimentally measured for select cases. The results show that an increase in the compression and an associated increase in artifacts reduces task based interpretability and lowers the Video-NIIRS rating of the video clips. The extent of the effect has implications for system design.

Citation Download Citation

Darrell Young, Tariq Bakir, Robert Butto Jr., Charles Duffield, and Fred Petitti "Loss of interpretability due to compression effects as measured by the new video NIIRS", Proc. SPIE 7529, Image Quality and System Performance VII, 75290V (18 January 2010); https://doi.org/10.1117/12.838644

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