Method and system for detecting transitional markers such as uniform fields in a video signal
First Claim
1. 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;
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;
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 and the maximum cell contrast for that video image is below a second threshold.
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Abstract
A method and system for detecting transitional markers such as 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 fields. 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.
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Citations
14 Claims
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1. A method of detecting a uniform image in a digital video signal made up of a series of video images, comprising:
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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; 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; 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 and the maximum cell contrast for that video image is below a second threshold. - View Dependent Claims (2, 3)
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4. A computerized system for detecting a uniform image in a digital video signal made up of a series of video images, comprising:
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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; calculate the maximum cell contrast for each of the segmented video images, the maximum contrast for an image comprising the value of the largest element of the cell contrast vector for that image; 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 brightness for each of the segmented video images, the maximum brightness for an image comprising the value of the largest element of the cell intensity vector for that image; and generate a blank image detect signal for a video image if the maximum cell brightness for that video image is below a first threshold and the maximum cell contrast for that video image is below a second threshold. - View Dependent Claims (5, 6)
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7. A computerized system for detecting video events in a digital video signal made up of a series of video images, comprising:
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a computer-readable medium; and a computer program encoded on the computer-readable medium, the computer program further 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; generate a cut-detect signal for a video image in response to the change in cell contrast vector for that video image relative to a second video image in said series, the cut-detect signal indicating an abrupt transition from one camera shot to another in the digital video signal; and generate a blank image detect signal for a video image in response to the cell contrast vector for that video image, the blank image detect signal indicating a blank image in the digital video signal. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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Specification