Aiming at the higher bit-rate occupation of motion vector encoding and more time load of full-searching strategies, a multi-resolution motion estimation and compensation algorithm based on adjacent prediction of frame difference was proposed.Differential motion detection was employed to image sequences and proper threshold was adopted to identify the connected region.Then the motion region was extracted to carry out motion estimation and motion compensation on it.The experiment results show that the encoding efficiency of motion vector is promoted, the complexity of motion estimation is reduced and the quality of the reconstruction image at the same bit-rate as Multi-Resolution Motion Estimation(MRME) is improved.
为了准确地建立流程类业务的业务模型,在KAOS(knowledge acquisition in automated specification)方法基础上,提出了一套基于组织本体的业务模型建模规则。通过流程类业务模型规则,引导领域用户以形式化的方式全面描述现实系统,建立业务模型,并可进一步自动转换为需求模型。实例表明,该方法能够保证领域内的业务需求与应用软件开发需求的一致性,在电子政务、电子商务领域中均可作为需求建模的一种有效方法。
针对人脸识别中的非线性特征提取问题,提出一种基于核正交局部判别嵌入(KOLDE,kernel orthogonal local discriminant embedding)的人脸识别算法。首先通过引入基向量正交约束,得到OLDE算法,并给出算法的推导过程。然后为了更好地处理高度复杂非线性结构数据,将OLDE向高维空间扩展,在核空间提取图像的高阶非线性信息,得到核空间OLDE算法。在ORL和PIE库上的人脸识别实验验证了算法的有效性。
