为了满足低速数据链下目标识别的需求，把感兴趣区域(Region of Interest, ROI)编码策略引入红外视频编码。在H.264视频编/解码框架的基础上，通过增加ROI编码的处理，构建基于ROI的视频编/解码框架，并在码率控制过程中调整ROI宏块与非ROI宏块的量化参数，优化了ROI量化模型。实验结果表明，该方法能够节省有限码率，增加ROI目标的细节，提高ROI对象的清晰度，可从整体上提高主观视觉的质量。

To meet the objection identification need under a low-speed data chain, a coding strategy about a Region of Interest (ROI) is introduced into infrared video coding. On the basis of a H.264 video encoding/decoding framework, the ROI quantitative model is optimized by adding the processing of ROI encoding, constructing the video encoding/decoding framework and adjusting the quantitative parameters of ROI and non-ROI macroblocks in the bit rate control process. The experimental result shows that this method can save the limited bit rate, increase the details of ROI objects, improve the definition of ROI objects and improve the subjective visual quality on the whole.