| In recent years, with the rapid development of wireless communication technology, wireless video transmission has become an important part in video transmission field and it is widely applied. Due to continuous development and improvement of encoding technology and mobile communication equipment, wireless channel of high coding efficiency and high bandwidth makes a huge amount of video data transmitting over the wireless channel possible. In practical applications, due to heterogeneity of the network, the difference of the available channel bandwidth of users and the variety of terminal equipment present a challenge for video transmission. Scalable video coding as an extended version of the H.264 realizes the hierarchical coding of temporal, spatial and quality and provides an excellent coding efficiency, high bit rate adaptation and layered coding technology, satisfying the decoding demand of different terminal equipment as well as unstable network environment. Therefore, it is of great value for the research of scalable video coding in wireless channel transmission technology.Due to the instability of channel bandwidth and noise interference in the process of transmission, video transmission technology has become a hotspot problem in recent researches. Joint source channel coding makes the source coding and channel coding no more in the state of independence and through effective technical means both coding system are closely integrated, then obtaining an optimized overall coding system. Joint source channel coding seeks an optimal coding system from the overall perspective, which will undoubtedly provide a reasonable solution for video transmission.Based on the further study of scalable video coding and channel coding, the paper combines source coding with channel coding and puts forward a combination scheme of joint source-channel coding based on unequal error protection. In this scheme, the optimal channel rate allocation of each layer is obtained by using Algorithms Genetic. In the solving process of genetic algorithm, total quantized distortion model is used to obtain the value of distortion caused by the loss code rate of each layer instead of the traditional experimental method and according to the specific problems in the text, the fitness function used by genetic algorithm makes appropriate adjustments and the penalty function is added to the fitness function. In the proposed scheme, channel protection is implemented by using Reed-Solomon(RS) coding which belongs to the Forward Error Correction Technology. Compared to the traditional approach, the experimental result indicates that the proposed scheme achieves effective video transmission over the channel under interference environment and improves the quality of reconstructed video on the decoder. |
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