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Method and system for detecting static pixel point in video image

A technology of video image and detection method, which is applied in the field of multimedia, and can solve the problems of inability to detect still objects and broken objects in video images

Active Publication Date: 2017-06-13
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the prior art cannot detect the still objects in the video image, thus causing the object fragmentation phenomenon in the frame rate conversion of the video image, the present invention proposes a static pixel in the video image A point detection method comprising:

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  • Method and system for detecting static pixel point in video image
  • Method and system for detecting static pixel point in video image

Examples

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no. 1 example

[0025] refer to figure 1 , figure 1 A schematic flow chart of a method for detecting still pixels in a video image in the first embodiment of the present invention is shown, and the specific steps are as follows:

[0026] S101. Calculate feature values ​​of neighborhoods corresponding to pixel points to be processed in adjacent frames.

[0027] In this embodiment, the above feature values ​​include: the normalized cross-correlation coefficient NCC within the neighborhood of the pixel to be processed, the brightness absolute error and SAD used to characterize the pixel similarity of adjacent frames, and the SAD used to characterize whether the pixel has a boundary The luminance variance varY of the pixel, the mean value of the motion vector meanMV used to characterize whether the pixel is still, and the variance varMV of the motion vector used to characterize whether the motion of the pixel is consistent.

[0028] The calculation formula of brightness SAD is shown in formula ...

no. 2 example

[0048] refer to figure 2 , figure 2 A schematic flow chart of a method for detecting still pixels in a video image in the second embodiment of the present invention is shown, and the specific steps are as follows:

[0049] S201. Calculate the feature value of the neighborhood corresponding to the pixel to be processed in the adjacent frame, and then go to step S202.

[0050] In this embodiment, the above feature values ​​include: the normalized cross-correlation coefficient NCC within the neighborhood of the pixel to be processed, the brightness absolute error and SAD used to characterize the pixel similarity of adjacent frames, and the SAD used to characterize whether the pixel has a boundary The luminance variance varY of the pixel, the mean value of the motion vector meanMV used to characterize whether the pixel is still, and the variance varMV of the motion vector used to characterize whether the motion of the pixel is consistent.

[0051] The calculation formula of br...

no. 3 example

[0077] refer to image 3 , image 3 A schematic diagram of a system for detecting still pixels in a video image in a third embodiment of the present invention is shown, and the system includes:

[0078] The feature value module 301 is used to calculate the feature value of the neighborhood corresponding to the pixel to be processed in the adjacent frame.

[0079] The confidence module 302 is configured to determine the confidence rel1 , the confidence rel2 and the confidence rel3 according to the feature values.

[0080] The judging module 303 is configured to select a corresponding value from the feature values ​​according to the values ​​of rel1 and rel2 to judge whether the pixel to be processed is a static pixel.

[0081] The counting module 304 is configured to add 1 to the count value corresponding to the pixel to be processed when it is judged that the pixel to be processed is a static pixel, and decrement the count by 1 when it is judged that the pixel to be processe...

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Abstract

The invention provides a method and a system for detecting a static pixel point in a video image. The method comprises the following steps of computing characteristic values of corresponding neighborhoods of a to-be-processed pixel point in adjacent frames; determining a confidence coefficient rel1 for representing the to-be-processed pixel point as a non-marginal pixel point in a static object and a confidence coefficient rel2 for representing the to-be-processed pixel point as a pixel point in a semitransparent static object according to the characteristic values; selecting a corresponding value from the characteristic values to judge whether the to-be-processed pixel point is the static pixel point according to the rel1 and the rel2; adding one to a count value corresponding to the to-be-processed pixel point when the to-be-processed pixel point is judged as the static pixel point, and subtracting one from the count value when the to-be-processed pixel point is judged to be not the static pixel point; and comparing the count value with a set threshold T, and determining the to-be-processed pixel point as the static pixel point if the count value is greater than T. According to the method and the system, the static pixel point in the video image can be accurately detected, so that the object fragmentation phenomenon in frame rate conversion of the video image is avoided.

Description

technical field [0001] The present invention relates to the field of multimedia technology, and more specifically, the present invention relates to a method and system for detecting static pixels in a video image. Background technique [0002] In the field of high-definition video applications, the current main frame rate conversion and upgrading method is to first perform motion estimation on the original frame, obtain the motion vector between adjacent frames according to the motion estimation result, and perform motion compensation through the obtained motion vector to obtain the frame interpolation result. Common videos often contain some graphics whose positions remain static in consecutive frames, such as some static backgrounds, broadcast logos, and TV translucent menus. When the video frame rate is increased, if there is no special detection process for these still objects, the motion vector of the image block containing the still pixels may be estimated as the backg...

Claims

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Application Information

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IPC IPC(8): H04N5/14G06T7/00G06T7/20
CPCG06T7/0002G06T7/20H04N5/144H04N5/147
Inventor 李晨韩睿郭若杉刘壮
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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