Video Character Dressing Method and Device Based on Adaptive Threshold Segmentation
An adaptive threshold and video technology, applied in the field of image processing, can solve the problems of low segmentation accuracy of image scene segmentation, poor segmentation effect, and ignoring the proportion of foreground images.
Active Publication Date: 2021-04-06
BEIJING QIHOO TECH CO LTD
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However, the existing image segmentation method does not consider the proportion of the foreground image in the frame image when performing scene segmentation processing, so when the proportion of the foreground image in the frame image is small, it is easy to use the existing image segmentation method Divide the pixels that actually belong to the edge of the foreground image into the background image, and the resulting image segmentation results have low segmentation accuracy and poor segmentation effect
Therefore, the image segmentation method in the prior art has the problem of low segmentation accuracy of image scene segmentation, and the obtained image segmentation results cannot be used to add beautification effects to the characters in the video well and accurately. Display of processed video data is poor
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[0102] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0103] figure 1 A schematic flow diagram showing a video character dressing method based on adaptive threshold segmentation according to an embodiment of the present invention, as figure 1 As shown, the method includes the following steps:
[0104] Step S100, acquiring in real time a current frame image of a specific object in the video captured and / or recorded by the image acquisition device.
[0105] In this embodiment, the ima...
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The present invention discloses a video character dress-up method, device, computing device and computer storage medium based on adaptive threshold segmentation. The method includes: acquiring a current frame image containing a specific object in a video in real time; performing scene segmentation processing on the current frame image , to obtain the foreground probability information for a specific object, determine the proportion of the foreground area according to the foreground probability information, and perform mapping processing on the foreground probability information according to the proportion of the foreground area, and obtain the image segmentation result; according to the image segmentation result, determine the processed The foreground image; according to the processed foreground image, determine at least one area to be decorated in the processed foreground image; add a beautification effect to at least one area to be decorated to obtain a frame processing image; cover the frame processing image with the current frame image after processing video data; display the processed video data. This technical solution can more accurately add a beautification effect to the area to be decorated in the frame image.
Description
technical field [0001] The present invention relates to the technical field of image processing, in particular to a video character dressing method, device, computing device and computer storage medium based on adaptive threshold segmentation. Background technique [0002] In the prior art, when the user needs to personalize the video, such as adding beautification effects to the characters in the video, the image segmentation method is often used to perform scene segmentation processing on the frame images in the video. The learned image segmentation method can achieve pixel-level segmentation effect. However, the existing image segmentation method does not consider the proportion of the foreground image in the frame image when performing scene segmentation processing, so when the proportion of the foreground image in the frame image is small, it is easy to use the existing image segmentation method The pixels that actually belong to the edge of the foreground image are di...
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IPC IPC(8): G06T7/11G06T7/136G06T7/194G06T5/00
CPCG06T7/11G06T7/136G06T7/194G06T2207/10016G06T5/77
Inventor 赵鑫邱学侃颜水成
Owner BEIJING QIHOO TECH CO LTD