为了提升多媒体处理感知能力,提出了一种运动图像序列跨尺度插值模型.首先从用户的角度出发,采用视觉显著性检测技术获取关注区域,进而确定运动图像的显著区域;而后在时间尺度改变的情况下,利用一致敏感哈希技术实现了高质量插值帧的生成;最后定义能量函数,使得在分辨率尺度变化时能提升关注区域的清晰度.实验结果表明,运动图像序列跨尺度插值模型能够获得较好的插值质量.
Abstract: In order to improve the perception ability of multimedia processing, a transcale interpolation model is proposed for the dynamic image sequences. Firstly, the visual attention regions are obtained by utilizing visual saliency detection from the viewpoint of users, so as to determine the outstanding regions of dynamic image sequences. Secondly, coherency sensitive hashing is adopted and high quality interpolation frames are generated when the time scale is changed. Finally, the energy function of the target images is defined, so the quality of visual attention regions could be improved when the resolution scale is changed. Experiments show that the proposed model achieves better interpolation results.