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Aiming at the huge intensity difference between video frames caused by the illumination change of flash, adaptive video coding algorithm based on flash scene is proposed in this paper. The flash and non flash frames are extracted according to the histogram difference, corresponding coding types are allocated for each frame correspondingly, and the motion vector derivative is used in the weighted prediction (WP) parameter set determination. And the back projection is used to keep the global consistency of flash scene. The experimental results show that the peak signal to noise ratio (PSNR) achieved by the proposed algorithm on the five videos Lena, Peppers, Building, Baboon and Nestling can arrive at 32.31 dB, 34.14 dB, 34.76 dB, 34.94 dB and 35.05 dB, respectively, which is nearly to PSNR of the primary images. And compared with the traditional weighted prediction algorithm, the proposed algorithm achieves better coding performance in terms of PSNR and computational complexity.