Video monitoring scene judgment method and device, and monitored image encoding method and device
A video monitoring and video image technology, applied in image communication, digital video signal modification, television, etc., can solve the problems that the video coding quality cannot reach the optimal effect, the video image quality varies greatly, and affect the implementation effect of video monitoring technology, etc. Achieve the effect of improving implementation effect, reducing complexity and improving image quality
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Embodiment 1
[0041] Embodiment 1, the discrimination of motion / stationary scene:
[0042] Such as Figure 4 As shown, it is a processing flow chart for judging whether a video monitoring scene is a motion / stationary scene proposed by an embodiment of the present invention, wherein motion detection can be used to judge whether a video monitoring scene is a motion scene or a static scene, and the current frame of the video to be monitored Subtract the image from the previous frame to obtain the residual frame. If there is no movement in the corresponding positions of the two frames of images before and after, the brightness value of the pixels corresponding to the obtained residual frame (abbreviated as the brightness value) is zero; Pixel Luminance Value Non-zero luminance value. The luminance value of each pixel in the residual frame is counted. If the ratio of the number of pixels with non-zero luminance value to the number of all pixels contained in the residual frame is greater than a...
Embodiment 2
[0049] Embodiment 2, Discrimination of Daytime / Nighttime Scenes:
[0050] Such as Figure 6 As shown, it is a processing flow chart for judging that a video surveillance scene is a daytime / nighttime scene proposed by the embodiment of the present invention. The embodiment of the present invention is based on the brightness value in the image frame representing the brightness of the image, and by counting the brightness of all pixels in a frame of image If the average brightness value obtained by statistics is greater than a certain threshold value, it can be judged that the monitoring scene where the front-end video surveillance device is located is a daytime scene; if the average brightness value obtained by statistics is lower than this threshold value, it can be judged that the front-end video surveillance The monitoring scene where the device is located is a night scene. The specific implementation process is as follows:
[0051] Step 60, obtaining the current video imag...
Embodiment 3
[0056] Embodiment 3, indoor / outdoor scene discrimination:
[0057] Such as Figure 8 As shown, it is a processing flow chart for distinguishing a video monitoring scene as an indoor / outdoor scene proposed by the embodiment of the present invention. The embodiment of the present invention distinguishes between an indoor monitoring scene or an outdoor monitoring scene and mainly focuses on whether the video image frame has uniform illumination. The monitored video image frames generally have uneven illumination, such as lighting and other effects. Divide a monitored frame of image into blocks of 16x16 pixels (of course, it can also be divided into blocks of other sizes, such as pixel blocks of 8×8, 4×4, etc.), and calculate the brightness of each divided pixel block Mean value Y, obtain the maximum brightness mean value Y of the pixel block in a frame of image max and minimum brightness mean Y min , as obtained by Y max and Y min If the following formula is satisfied, it is...
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