Intelligent monitoring system and method for encoding and decoding images thereof

Abstract

The invention provides an intelligent monitoring system and a method for encoding and decoding images thereof. The method comprises the following steps of: acquiring description parameters of moving targets by using an intelligent monitoring module; determining the targets which need differential treatment through the parameters; encoding the targets which need differential treatment differently so as to perform differential treatment; and decoding the targets which need differential treatment and outputting the images. In the method, the targets which need differential treatment are encoded differently and the quality of the whole image does not need to be guaranteed, so that the requirements of a user can be guaranteed under the condition of low code rate.

Description

【Technical field】 [0001] The invention relates to the field of electronic monitoring, in particular to an intelligent monitoring system and an encoding and decoding method thereof. 【Background technique】 [0002] With the growth of social and economic development and the establishment of a good social living environment, people gradually realize that safety precautions are an indispensable part of life. The construction of the monitoring system has developed from the initial key prevention targets and key departments to today's public places, large buildings, finance, transportation and other fields, and even to the family. Various levels of prevention systems have been established, preventing and cracking more than 10,000 cases of various types every year, and recovering direct economic losses of more than 400 million yuan, which has played a huge role in ensuring social public safety and people's declared property safety. [0003] In the monitoring system, the quality of ...

AI Technical Summary

Problems solved by technology

[0005] However, in the existing video coding, it is difficult to distinguish the moving target in the video image from the fixed background image. If the video quality of the user's attention area is to be guaranteed, because the attention area cannot be distinguished from the non-interest area The only way to deal with it is to ensure the quality of the overall image. In this way, the background area that does not need a very precise image must also be accurately encoded, resulting in a relatively large bit stream data, which means that it is difficult to guarantee the user's needs at a low bit rate.

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