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US6061471A
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Method and system for detecting uniform images in video signal
Assignee: Hewlett Packard Development Co LP
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Filing: 1997-12-18
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Granted: 2000-05-09
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Expires: 2017-12-18
Abstract
Abstract A method and system for detecting uniform images in a digital video signal made up of a series of video images is disclosed. One aspect of the invention is a method for detecting uniform images. The method comprises segmenting a plurality of the video images into a number of cells, each cell comprising a number of pixels, each pixel associated with an intensity value representing the intensity of the pixel. Then, a plurality of cell contrast vectors each associated with one of the segmented video images is generated. Each element of the cell contrast vector is associated with one of the cells of the video image and comprises the standard deviation of the pixel intensity values for the pixels in that cell. A uniform image is detected for a video image in response to the cell contrast vector for that image.
Inventors
- 👤 E. North Coleman, Jr.
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 21:52
CPC Classifications
G; G06; G06F; G06F16/00; G06F16/70; G06F16/78; G06F16/783; G06F16/7847; G06F16/785; G06T; G06T7/00; G06T7/20; G06T7/254; G06V; G06V20/00; G06V20/40; G11; G11B; G11B27/00; G11B27/10; G11B27/19; G11B27/28; H; H04; H04N; H04N19/00; H04N19/10; H04N19/134; H04N19/142; H04N19/169; H04N19/179; H04N19/85; H04N19/87; H04N5/00; H04N5/14; H04N5/147; H04N5/222; H04N5/262; H04N5/265; G11B2220/00; G11B2220/20; G11B27/02; G11B27/031; G11B27/034
Claims Analysis
Total Claims: 15
Claim 1
Independent Claim
143 words
A method of detecting a uniform image in a digital video signal made up of a series of video images, comprising: segmenting a plurality of the video images, each of the plurality of video images segmented into a first number of cells, each cell comprising a second number of pixels, a pixel having a pixel intensity value representing the intensity of the pixel; generating a plurality of cell contrast vectors each associated with one of the segmented video images, each element of the cell contrast vector associated with one of the cells and comprising the standard deviation of the pixel intensity values for the pixels in that cell; and generating a uniform image detect signal for a video image in response to the cell contrast vector for that image, the uniform image detect signal indicating a uniform image in the digital video signal.
Claim 2
Independent Claim
143 words
A method of detecting a uniform image in a digital video signal made up of a series of video images, comprising: segmenting a plurality of the video images, each of the plurality of video images segmented into a first number of cells, each cell comprising a second number of pixels, a pixel having a pixel intensity value representing the intensity of the pixel; generating a plurality of cell contrast vectors each associated with one of the segmented video images, each element of the cell contrast vector associated with one of the cells and comprising the standard deviation of the pixel intensity values for the pixels in that cell; and generating a uniform image detect signal for a video image in response to the cell contrast vector for that image, the uniform image detect signal indicating a uniform image in the digital video signal.
Claim 3
Dependent Claim
78 words
The method of claim 1, further comprising: calculating the maximum cell contrast for each of the segmented video images, the maximum cell contrast for an image comprising the value of the largest element of the cell contrast vector for that image; and wherein the step of generating a uniform image detect signal further comprises generating a uniform image detect signal for a video image if the maximum cell contrast for that video image is below a first threshold.
Claim 4
Dependent Claim
177 words
The method of claim 2, further comprising: generating a plurality of cell intensity vectors each associated with one of the segmented video images, each element of the cell intensity vector associated with one of the cells and comprising the average of the pixel intensity values for the pixels in that cell; calculating the maximum cell intensity for each of the segmented video images, the maximum cell intensity for an image comprising the value of the largest element of the cell intensity vector for that image; calculating the minimum cell intensity for each of the segmented video images, the minimum cell intensity for an image comprising the value of the smallest element of the cell intensity vector for that image; wherein the step of generating a uniform image detect signal further comprises generating a uniform image detect signal for a video image if the maximum cell contrast for that video image is below the first threshold and the difference between the maximum cell intensity and the minimum cell intensity for that video image is below a second threshold.
Claim 5
Dependent Claim
16 words
The method of claim 1, wherein each video image comprises a field of a video signal.
Claim 6
Dependent Claim
16 words
The method of claim 1, wherein each video image comprises a frame of a video signal.
Claim 7
Independent Claim
166 words
A method of detecting a blank image in a digital video signal made up of a series of video images, comprising: segmenting a plurality of the video images, each of the plurality of video images segmented into a first number of cells, each cell comprising a second number of pixels, a pixel having a pixel intensity value representing the intensity of the pixel; generating a plurality of cell intensity vectors each associated with one of the segmented video images, each element of the cell intensity vector associated with one of the cells and comprising the average of the pixel intensity values for the pixels in that cell; calculating the maximum cell intensity for each of the segmented video images, the maximum cell intensity for an image comprising the value of the largest element of the cell intensity vector for that image; and generating a blank image detect signal for a video image if the maximum cell intensity for that video image is below a first threshold.
Claim 8
Independent Claim
166 words
A method of detecting a blank image in a digital video signal made up of a series of video images, comprising: segmenting a plurality of the video images, each of the plurality of video images segmented into a first number of cells, each cell comprising a second number of pixels, a pixel having a pixel intensity value representing the intensity of the pixel; generating a plurality of cell intensity vectors each associated with one of the segmented video images, each element of the cell intensity vector associated with one of the cells and comprising the average of the pixel intensity values for the pixels in that cell; calculating the maximum cell intensity for each of the segmented video images, the maximum cell intensity for an image comprising the value of the largest element of the cell intensity vector for that image; and generating a blank image detect signal for a video image if the maximum cell intensity for that video image is below a first threshold.
Claim 9
Dependent Claim
134 words
The method of claim 6, further comprising: generating a plurality of cell contrast vectors each associated with one of the segmented video images, each element of the cell contrast vector associated with one of the cells and comprising the standard deviation of the pixel intensity values for the pixels in that cell; calculating the maximum cell contrast for each of the segmented video images, the maximum cell contrast for an image comprising the value of the largest element of the cell contrast vector for that image; and wherein generating a blank image detect signal further comprises generating a blank image detect signal for a video image if the maximum cell intensity for that video image is below a first threshold and the maximum cell contrast for that video image is below a second threshold.
Claim 10
Dependent Claim
160 words
A computerized system for detecting a uniform image in a digital video signal made up of a series of video images, comprising: a computer-readable medium; a computer program encoded on the computer-readable medium, the computer program operable to segment a plurality of the video images, each of the plurality of video images segmented into a first number of cells, each cell comprising a second number of pixels, a pixel having a pixel intensity value representing the intensity of the pixel; generate a plurality of cell contrast vectors each associated with one of the segmented video images, each element of the cell contrast vector associated with one of the cells and comprising the standard deviation of the pixel intensity values for the pixels in that cell; and generate a uniform image detect signal for a video image in response to the cell contrast vector for that image, the uniform image detect signal indicating a uniform image in the digital video signal.
Claim 11
Dependent Claim
160 words
A computerized system for detecting a uniform image in a digital video signal made up of a series of video images, comprising: a computer-readable medium; a computer program encoded on the computer-readable medium, the computer program operable to segment a plurality of the video images, each of the plurality of video images segmented into a first number of cells, each cell comprising a second number of pixels, a pixel having a pixel intensity value representing the intensity of the pixel; generate a plurality of cell contrast vectors each associated with one of the segmented video images, each element of the cell contrast vector associated with one of the cells and comprising the standard deviation of the pixel intensity values for the pixels in that cell; and generate a uniform image detect signal for a video image in response to the cell contrast vector for that image, the uniform image detect signal indicating a uniform image in the digital video signal.
Claim 12
Dependent Claim
75 words
The computerized system of claim 8, wherein the computer program is further operable to: calculate the maximum cell contrast for each of the segmented video images, the maximum cell contrast for an image comprising the value of the largest element of the cell contrast vector for that image; and wherein a uniform image detect signal is generated for a video image if the maximum cell contrast for that video image is below a first threshold.
Claim 13
Dependent Claim
175 words
The computerized system of claim 9, wherein the computer program is further operable to: generate a plurality of cell intensity vectors each associated with one of the segmented video images, each element of the cell intensity vector associated with one of the cells and comprising the average of the pixel intensity values for the pixels in that cell; calculate the maximum cell intensity for each of the segmented video images, the maximum cell intensity for an image comprising the value of the largest element of the cell intensity vector for that image; calculate the minimum cell intensity for each of the segmented video images, the minimum cell intensity for an image comprising the value of the smallest element of the cell intensity vector for that image; and wherein the uniform image detect signal is generated for a video image if the maximum cell contrast for that video image is below the first threshold and the difference between the maximum cell intensity and the minimum cell intensity for that video image is below a second threshold.
Claim 14
Dependent Claim
17 words
The computerized system of claim 8, wherein each video image comprises a field of a video signal.
Claim 15
Dependent Claim
17 words
The computerized system of claim 8, wherein each video image comprises a frame of a video signal.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2003-05-09 | 2003-11-08 | 2004-05-09 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2007-05-09 | 2007-11-08 | 2008-05-09 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2011-05-09 | 2011-11-08 | 2012-05-09 | $7700.00 | Window Closed / Lapsed |