Multiple video data compression and reconstruction method

Abstract

The invention discloses a multiple video data compression and reconstruction method. The method comprises the following steps: step 1, obtaining video image information; step 2, performing first level video image compression; step 3, performing second level video image compression; step 4, performing video image reconstruction; step 5, performing video image encoding; step 6, performing video image decoding; and step 7, displaying a video image. According to the multiple video data compression and reconstruction method, the number of video image frames having large similarity is reduced by primary compression, the pixel points of the video image are reduced by secondary compression, the continuous image resolving power of human eyes is guaranteed by data reconstruction, the data size and the complexity of the H.264 encoding are reduced by the primary compression, the secondary compression and the data reconstruction, the continuous image resolving power of human eyes is satisfied, and the possibility of mass real-time video data transmission is also satisfied under the requirements of limited communication channel transmission properties, and meanwhile the occurrence rate of channel congestion is reduced, and the field information can be effectively reflected.

Description

technical field [0001] The invention belongs to the technical field of multimedia communication, and in particular relates to a video data multiple compression and reconstruction method. Background technique [0002] Data transmission under the requirements of limited communication channel transmission characteristics is likely to cause channel congestion and cannot reflect on-site information in a timely and effective manner. For example, in underground working environments such as coal mines and roadways, untimely signal transmission may endanger life and property safety. In underground roadway rescue work, video data is the most intuitive display of the accident scene, and it is an indispensable data for rescue work. Collecting video images of the current on-site environment through the video image sensor is an important basis for intuitively reflecting the on-site environment and finding the location of trapped people. Due to the accident, the environment of the undergr...

AI Technical Summary

Problems solved by technology

Due to the accident, the environment of the underground roadway has become more complicated, and the data transmission and communication system has been affected, so the transmission of video data cannot be carried out.

At present, most of the video data transmission methods are carried out in a good external environment and a good communication environment. In the restricted environment with complicated underground roadway accidents, there are still few methods to solve video data compression and reconstruction.

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