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This paper proposed a parallel video coding scheme based on MapReduce. It divided the input video sequence into segments and mapped to multiple computers in the form of tasks. After that, it encoded all these tasks in parallel at different computer nodes to achieve better encoding speed. In order to minimize the makespan of a given tasks set and balance the system load, this paper proposed a LBMM algorithm according to the computing capacity and the coding charactertics. The simulated results show the proposed parallel video coding system greatly improves the big volumn video sequence coding efficiency, reduces the average job response time. The LBMM algorithm outperforms Min-Min (minimal-minimal complete time) algorithm and RR (round robin) algorithm using in CloudSim. [ABSTRACT FROM AUTHOR]