CAJ | 학술논문

针对已有算法需要采用一系列参数经验值得到最优视频分割结果的问题,提出根据视频特征自适应地计算视频邻域关系的特征强度函数,构造参数自适应的条件随机场视频分割模型.算法的核心思想是采用视频中像素之间的邻域关系自适应计算各个模型的特征函数,通过条件随机场模型对这些特征能量函数进行约束并利用Gibbs采样算法对该模型进行求解,获得全局优化的分割结果.针对不同环境下的视频分割实验表明,该算法能够很好地逼近最优经验参数所得到的视频分割结果,从而避免定义经验值所导致的算法局限性问题.
침대이유산법수요채용일계렬삼수경험치득도최우시빈분할결과적문제,제출근거시빈특정자괄응지계산시빈린역관계적특정강도함수,구조삼수자괄응적조건수궤장시빈분할모형.산법적핵심사상시채용시빈중상소지간적린역관계자괄응계산각개모형적특정함수,통과조건수궤장모형대저사특정능량함수진행약속병이용Gibbs채양산법대해모형진행구해,획득전국우화적분할결과.침대불동배경하적시빈분할실험표명,해산법능구흔호지핍근최우경험삼수소득도적시빈분할결과,종이피면정의경험치소도치적산법국한성문제.
Aimed at the problem that the video segmentation method based on conditional random fields needs set empirical values to obtain optimal segmentation results, the video segmentation model was proposed to compute adaptively video neighboring relationship feature function by video features and construct adaptive parameters conditional random fields. The core idea of algorithm is to calculate different kinds of model feature function by pixel neighboring relationship in video, these feature energy functions are constrained by conditional random field model,which is solved via Gibbs sampling algorithm to obtain globally optimal segmentation results. The experiment shows that the results of adaptive parameter algorithm are the same as one of optimal empirical parameters.