基于光电视频鸟类区域帧级码率控制优化算法研究  

Research on Frame-level Code Rate Control Optimization Algorithm in Bird Area with Frequent Photoelectric Illumination

作　　者：孙磊 徐剑荣 柳士伟 郭鸿昌 倪志旭 SUN Lei;XU Jianrong;LIU Shiwei;GUO Hongchang;NI Zhixu(School of Electrical,Yancheng Institute of Technology,Yancheng Jiangsu 224001;Support Team Directly under the Air Force Support Department of Eastern Theater Command,Nanjing Jiangsu 210000)

机构地区：[1]盐城工学院电气学院,江苏盐城224001 [2]东部战区空军保障部直属保障队,江苏南京210000

出　　处：《软件》2023年第9期49-52,161,共5页Software

摘　　要：对于机场智能驱鸟应用中视频传输实时性和精确性要求,采用一种鸟类区域帧级码率控制优化算法,考虑人类视觉系统中注意力机制对视频内容感知的差别,通过光电设备捕捉被驱离鸟群并对鸟类区域识别,利用灰度共生矩阵对光电视频场景下图像帧进行空间复杂度计算;采用分级编码策略对于不同区域进行分块和标号处理,通过预测编码、变换编码和量化编码进行光电视频场景下图像差异性编码,实现光电视频压缩效率和鸟类区域质量的最优化,达到被驱离鸟类目标特征高分辨率视频快速实时传输,从而提高智能驱鸟系统的效率和性能。To meet the real-time and accuracy requirements of video transmission in airport intelligent bird drive applications,this paper adopts a frame-level bit rate control optimization algorithm for bird area,takes into account the difference in the perception of video content by the attention mechanism in the human visual system,captures the expelled bird flock by photoelectric equipment and identifies the bird area.The gray cooccurrence matrix is used to calculate the spatial complexity of the image frame in the photoelectric video scene.The hierarchical coding strategy is used to process the segmentation and labeling of different regions,and the image difference coding in the photoelectric video scene is carried out by predictive coding,transform coding and quantization coding,so as to achieve the optimization of the photoelectric video compression efficiency and bird region quality,achieve the rapid real-time transmission of high-resolution video features of the expelled birds,and thus improve the efficiency and performance of the intelligent bird repelling system.

关 键 词：分级编码 机场智能驱鸟 空间复杂度 鸟类区域 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] TN919.8[电子电信—通信与信息系统]