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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

Active Publication Date: 2014-12-31
CHINA MOBILE COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the same set of encoding configuration schemes are uniformly used to encode the video images monitored in many different monitoring scenarios in the same way, the video encoding quality cannot achieve the optimal effect, and the quality of the reconstructed video images after compression is also very different. The effect of presenting a consistent surveillance video image, thus affecting the implementation effect of video surveillance technology

Method used

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  • Video monitoring scene judgment method and device, and monitored image encoding method and device
  • Video monitoring scene judgment method and device, and monitored image encoding method and device
  • Video monitoring scene judgment method and device, and monitored image encoding method and device

Examples

Experimental program
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Effect test

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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Abstract

The invention discloses a video monitoring scene judgment method, a video monitoring scene judgment device, a monitored image encoding method and a monitored image encoding device. The video monitoring scene judgment method comprises the following steps of: acquiring the current video image frame monitored by a front-end video monitoring device; dividing the acquired current video image frame into blocks with M*N pixel sizes, wherein M and N are natural numbers; determining a brightness mean value of each divided block respectively; determining the maximum brightness mean value Ymax and the minimum brightness mean value Ymin from the respectively determined brightness mean values of the blocks; and if (Ymax-Ymin) / Ymin is greater than TH, determining that the current monitoring scene, in which the front-end video monitoring device is positioned, is an indoor scene, otherwise, determining that the current monitoring scene, in which the front-end video monitoring device is positioned, is an outdoor scene, wherein TH is a set quotient threshold value. According to the methods and the devices, monitored video images under different monitoring scenes can be subjected to adaptive encoding modes, and the image encoding quality for video monitoring is improved.

Description

technical field [0001] The present invention relates to the technical field of video surveillance, in particular to a video surveillance scene discrimination method and device thereof, and a video surveillance image encoding method and device thereof. Background technique [0002] At present, with the maturity of the security industry and the large-scale construction of safe cities and safe campuses, people pay more and more attention to real-time remote monitoring, and video surveillance has been more and more widely used. Video surveillance has also evolved from wired to wireless to meet the ever-increasing requirements for mobility and convenience. However, due to the limited uplink bandwidth of 3G wireless networks such as TD-SCDMA, the transmission quality of video surveillance images is poor, which greatly affects the effect of video surveillance. [0003] While increasing the transmission bandwidth of the wireless network, it is also necessary to optimize the video e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18H04N19/61H04N5/14
Inventor 杨黎波柴鑫刚张俭
Owner CHINA MOBILE COMM GRP CO LTD
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