US 12,361,704 B2
Image detection method and apparatus, computer device, and computer-readable storage medium
Mingxing Ren, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by Tencent Technology (Shenzhen) Company Limited, Shenzhen (CN)
Filed on Sep. 1, 2022, as Appl. No. 17/901,707.
Application 17/901,707 is a continuation of application No. PCT/CN2021/113175, filed on Aug. 18, 2021.
Claims priority of application No. 202011024483.0 (CN), filed on Sep. 25, 2020.
Prior Publication US 2022/0415038 A1, Dec. 29, 2022
Int. Cl. G06V 10/98 (2022.01); G06T 5/70 (2024.01); G06T 7/00 (2017.01); G06V 10/75 (2022.01)
CPC G06V 10/98 (2022.01) [G06T 5/70 (2024.01); G06T 7/0002 (2013.01); G06V 10/75 (2022.01)] 20 Claims
OG exemplary drawing
 
1. An image detection method, performed by a computer device, the method comprising:
intercepting a first image and a second image at a preset time interval from a video stream;
performing pixel matching on the first image and the second image to obtain a value of total matching pixels between the first image and the second image;
in response to determining that the first image and the second image satisfies a preset matching condition based on the value of total matching pixels exceeding a first similarity threshold:
identifying a subset of the second image as an initial image target;
performing blur processing on the initial image target to obtain a final image target;
calculating target blurriness of the final image target, wherein the target blurriness of the final image target is a standard deviation of pixels in the second image from an average of the pixels in the second image; and
in response to determining that the target blurriness of the final image target is less than a second blurriness threshold. determining that the video stream is abnormal.