Video transmission method and system based on H.264

Abstract

The invention discloses a video transmission method and system based on H.264. The video transmission method comprises the following steps: decoding received coded video data at a receiving end in the process of transmitting the video data from a transmitting end to the receiving end, and carrying out error detection in the decoding process; if the error is detected, generating error code information and feeding the error code information back to the transmitting end, simultaneously using a corresponding error covering algorithm to rebuild an image according to error types; and at the transmitting end, coding the collected video data according to a predetermined mode, and regulating the coding mode of a macrolbock at the corresponding position of the current frame to an intraframecoding mode according to the error code information when receiving the error code information; and then transmitting the coded video data to the receiving end. By the video transmission method and system, the serious proliferation of video error can be inhibited to a certain degree, and the restorability of the video error is improved so that the receiving end can obtain better image effect.

Description

technical field [0001] The invention relates to the technical field of multimedia communication, in particular to a video transmission method based on the H.264 video coding standard. Background technique [0002] With the rapid development of the third-generation digital wireless mobile communication network and multimedia information services, 3G multimedia communication technology has become a new focus of the industry. The advantage of 3G mobile communication network is that it can provide faster data transmission rate and wider network frequency band, which provides support for larger data volume transmission services. [0003] At present, the 3G mobile communication network not only needs to process voice information, but also needs to process various media forms such as images, music, and video streams, and provide various information services such as web browsing, conference calls, and e-commerce. However, the video communication service is still a challenge to the...

AI Technical Summary

Problems solved by technology

At present, the video transmission model under the error channel is as follows figure 1 As shown, the decoder reconstruction value Yn at the receiving end is a random variable based on X n, and Yn introduces the following possible distortions relative to X n: quantization distortion at the encoding end, error concealment distortion due to channel distortion, and distortion due to Error diffusion and distortion caused by reference frame error; when the video frame received by the decoder has an error, the decoder will use error concealment technology to reconstruct the erroneous part, but the reconstructed frame is the same as the original frame of the encoder. There must be a loss of video information. If the lost part of the information is used as the reference frame information for motion compensation estimation, it will cause error diffusion, which will not only reduce the quality of the reconstructed image of the error frame, but also cause damage to subsequent frames. irrecoverable loss, making the image increasingly unclear

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