摘要
为了提高视频会议系统的图像传输速度,将视频帧预测模式按照在实际的模式选择中所占比例高低以及宏块间的相似性分成四类,从实际选择中所占比例高的模式优先开始搜索,代替原来的树状全搜索模式,来缩短帧预测的时间,从而提高系统的图像传输速度.实验结果表明,优化后的算法在不影响图像视觉效果的情况下,较优化前的算法平均每帧编码时间明显缩短,说明通过按实际模式选择中所占比例高低,进行预测模式分类搜索的方法可以有效提高图像帧编码的速度,从而提高视频会议系统的图像传输速度.
In order to improve image transmission rate of video conference system,the frame prediction mode is divided into four categories according to their several occupational proportion in the actual mode selection and the similarity of macroblocks to each other.The searching starts from the mode with higher occupation rate,instead of the original full tree-like searching mode to reduce image frame prediction time and improve the image transmission rate.It is shown by experimental result that when the optimized algorithm does not affect the image visual quality,the average frame encoding time of the optimized algorithm will be significantly reduced,showing that the searching method of the categorized prediction mode according to the occupational proportion in actual mode selection will effectively improve the speed of image frame coding and the image transmission speed of the video conference system thereby.
出处
《兰州理工大学学报》
CAS
北大核心
2015年第3期108-111,共4页
Journal of Lanzhou University of Technology
基金
贵州省科学技术基金(黔科合LH字[2014]7536号)
