Intelligent code rate control optimization method based on scene change

Abstract

The invention discloses an intelligent code rate control optimization method based on scene change. The method comprises the following steps: acquiring a video image; performing motion estimation on the video code; performing foreground change detection to obtain a detection result; evaluating a dynamic I frame setting point according to a detection result; scene change judgment is performed according to the internal motion vector of the code, and the I-frame interval is intelligently controlled, so that the code rate in a specific scene can be effectively reduced, and the human eyes cannot feel an obvious smear phenomenon.

Description

technical field [0001] The invention relates to the technical field of video encoding and decoding, in particular to an intelligent code rate control optimization method based on scene changes. Background technique [0002] In actual use of video encoding, due to the limitation of actual network bandwidth, there is usually a fixed bit rate upper limit. Especially under the condition of wireless mobile network, the restrictions on the bit rate are higher, so the bit rate encoding is usually limited. In the field of video surveillance, the requirements for real-time video are relatively high. Often there will be a large number of changes in the foreground of the picture, the change intensity is very high, and the duration is long. When the picture changes become stable, there will always be smears on the picture, and even a phenomenon that cannot disappear for a long time. [0003] At present, the main treatment options are as follows: [0004] a. Increase the bandwidth lim...

AI Technical Summary

Problems solved by technology

However, there are two problems. The first is to fix the I-frame interval, or the I-frame is not refreshed in time at the end of the picture change, and afterimages appear in the still picture, which affects the visual experience; The code rate is further uncontrollable, and the afterimage is more obvious;

[0006] c. Forcibly lower the upper limit of encoding QP; code control may not be effectively controlled, resulting in frame loss in the actual network;

[0007] d. Optimize the code control algorithm; the general code control algorithm has many clamping conditions, and it is difficult to significantly optimize the effect for this specific scene

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