Paper
2 February 2011 The effects of scene characteristics, resolution, and compression on the ability to recognize objects in video
Joel Dumke, Carolyn G. Ford, Irena W. Stange
Author Affiliations +
Proceedings Volume 7865, Human Vision and Electronic Imaging XVI; 78650P (2011) https://doi.org/10.1117/12.872480
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
Public safety practitioners increasingly use video for object recognition tasks. These end users need guidance regarding how to identify the level of video quality necessary for their application. The quality of video used in public safety applications must be evaluated in terms of its usability for specific tasks performed by the end user. The Public Safety Communication Research (PSCR) project performed a subjective test as one of the first in a series to explore visual intelligibility in video-a user's ability to recognize an object in a video stream given various conditions. The test sought to measure the effects on visual intelligibility of three scene parameters (target size, scene motion, scene lighting), several compression rates, and two resolutions (VGA (640x480) and CIF (352x288)). Seven similarly sized objects were used as targets in nine sets of near-identical source scenes, where each set was created using a different combination of the parameters under study. Viewers were asked to identify the objects via multiple choice questions. Objective measurements were performed on each of the scenes, and the ability of the measurement to predict visual intelligibility was studied.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joel Dumke, Carolyn G. Ford, and Irena W. Stange "The effects of scene characteristics, resolution, and compression on the ability to recognize objects in video", Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650P (2 February 2011); https://doi.org/10.1117/12.872480
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Video

Light sources and illumination

Video compression

Visualization

Safety

Target recognition

Visual compression

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