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In view of the shortcomings of the traditional video coding technology of large amount of calculation and high complexity, this paper presented based on bilateral distributed video compressed sensing algorithm. The algorithm combined compressed sensing technology and distributed video coding technology. The video sequence was divided into Key frames and CS frames. Key frames used traditional intra coding and decoding, and CS frames coding end used compressed sensing encoding, decoding end used intra-view and Inter-view of bilateral information and gradient projection to optimize and reconstruct information. Distributed compressive video sensing model that based on bilateral information was builded by bilateral motion estimation information and compression encoder design. The simulation results showed that this model can achieve high-efficiency encoding, while the implementation complexity of the decoding by the encoding end to end of the transfer, at a lower sampling rate, the ability to improve video compression and transmission speed.