Video abnormality detection
First Claim
4-1. The method of claim 1 wherein the comparing, for pixels in an image frame, a luminance value for each of the pixels to a threshold luminance value to determine whether a luminance threshold condition is met for the frame is performed for all pixels in the image frame.
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Accused Products
Abstract
Methods and apparatuses to detect presence of undesirable video abnormalities during, for example, video ingest or playback. These undesirable characteristics may include an average picture level that is less than a preset threshold value, or static input, in which the content does not change over a significant number of frames. Detection of abnormalities results in an alarm to a system operator. Analysis and alarm may occur automatically during processing of video data streams. The same abnormalities may be detected during playback of the image data.
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Citations
34 Claims
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4-1. The method of claim 1 wherein the comparing, for pixels in an image frame, a luminance value for each of the pixels to a threshold luminance value to determine whether a luminance threshold condition is met for the frame is performed for all pixels in the image frame.
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10. An article of manufacture comprising a computer-readable medium having stored thereon instructions that, when executed, cause one or more processors to:
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compare, for pixels in an image frame, a luminance value for each of the pixels to a threshold luminance value to determine whether a luminance threshold condition is met for the frame;
count a number of consecutive frames for which the luminance threshold condition is met;
compare the number of consecutive frames counted to a frame threshold value to determine whether a frame threshold condition is met; and
generate a human-observable condition if the frame threshold condition is met. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A method comprising:
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comparing, for pixels in an image frame, color values to corresponding color values of a time-adjacent image to determine whether a color threshold condition exists;
counting a number of consecutive frames for which the color threshold condition exists;
comparing the number of consecutive frames for which the color threshold condition exists to a frame change threshold value to determine whether a frame change condition is met;
generating a human-observable condition if the frame change condition is met. - View Dependent Claims (20, 21, 22, 23, 24)
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25. An article of manufacture comprising a computer-readable medium having stored thereon instructions that, when executed, cause one or more processors to:
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compare, for pixels in an image frame, color values to corresponding color values of an adjacent image to determine whether a color-difference threshold condition exists;
count a number of consecutive frames for which the color threshold condition exists;
compare the number of consecutive frames for which the color threshold condition exists to a frame change threshold value to determine whether a frame change condition is met;
generate a human-observable condition if the frame change condition is met. - View Dependent Claims (26, 27, 28, 29, 30)
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31. A system comprising:
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a storage medium;
video processing circuitry including one or more processors to execute instructions including instructions that, when executed, cause the one or more processors to automatically compare, for pixels in an image frame, a luminance value for each of the pixels to a threshold luminance value to determine whether a luminance threshold condition is met for the frame, to count a number of consecutive frames for which the luminance threshold condition is met, to compare the number of consecutive frames counted to a frame threshold value to determine whether a frame threshold condition is met, and to generate a human-observable condition if the frame threshold condition is met. - View Dependent Claims (32)
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33. A system comprising:
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a storage medium;
video processing circuitry including one or more processors to execute instructions including instructions that, when executed, cause the one or more processors to automatically compare, for pixels in an image frame, color values to corresponding color values of an adjacent image to determine whether a color threshold condition exists, count a number of consecutive frames for which the color threshold condition exists, compare the number of consecutive frames for which the color threshold condition exists to a frame change threshold value to determine whether a frame change condition is met, and generate a human-observable condition if the frame change condition is met. - View Dependent Claims (34)
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Specification