Aiming at defects of the high computational complexity and hardly used in real-time application of H.264/AVC video encoding standard, by using reconstruction of macro-blocks motion vector and inter-frame prediction mode, and combining feature of Human Visual System(HVS), this paper proposes a fast extraction algorithm for video Region of Interest(ROI) and optimized encoding scheme. Simulation results show that compared with H.264/AVC algorithm, the proposed algorithm can achieve reduction of 53.11% encoding time on average, while PSNR only declined 0.052 dB and bit-rate increase 0.17% at the same time.%针对H.264/AVC视频编码标准计算复杂度高、难以实时应用的缺陷,利用重建块的运动矢量和帧间预测模式,并结合人类视觉感知特征,提出一种视频感兴趣区域快速提取算法及其优化编码方案.仿真结果表明,与H.264/AVC算法相比,该算法能够在码率平均增加0.17％、峰值信噪比平均下降0.052 dB的前提下,节省53.11％的编码时间.
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