Development of image database systems by using spatial and temporal information

图像数据库系统不仅需要存储和管理大量的视觉信息，而且需要提供适合应用程序和用户的良好界面，以便有效地利用图像数据库中的数据。第一年，我们研究了空间信息处理方法，并将我们的方法应用于指定的图像数据库（中国水墨画数据库）。我们构建了亮度感知模型，从刺激/物理层面计算亮度感知水平。然后，我们将在亮度感知中起关键作用的填充过程形成并实现为局部迭代操作。仿真实验验证了该方法对亮度错觉现象的感知和噪声阶跃边缘的检测，结果表明了该方法的有效性。最后，利用该方法构建了自然图像（水墨画）的对象提取和素描图像生成。第二年，我们提出了时空信息处理的计算视觉模型，并考虑了两者的融合。首先，我们建立了时间信息处理机制，制定了运动元素积分器，实现了运动角的概率测量。然后，将复杂的视觉问题分解为以低维变量表示的局部过程，并通过时空协同处理进行处理。最后，将本文提出的时空信息处理方法应用于大型遥感影像数据库系统，验证了该方法的有效性。

It is necessary for image database systems not only to store and manage many visual information but also to provide good interface adapted for applications and its users in order to utilize its data efficiently.At first year, we investigated spatial information processing method and applied our method for a specified image database (a database of Chinese brush paintings in ink). We constructed brightness perception model that computes perceived level of brightness from stimulus/physical level. Then, we formurated and implemented the filling-in process, which plays a key role in brightness perception, as locally iterative operation. Simulation experiments demonstrated perception of brightness illusory phenomena and detection of noisy step edges and its results showed the effectiveness of this method. At last, by using our method, the object extraction and sketch image generation from natural images (Chinese brush paintings in ink) was constructed.Second year, We proposed computational visual model for spatial and temporal information processing and considered the integuration of both of them. First, we developed temporal information processing mechanism and formulated motion element integrator that carries out probable measurement of motion angle. Then, complicated visual problems were decomposited into local processes represented in terms of low-dimensional variables, which were processed by cooperating spatial and temporal processing. At last, we applied our spatio-temporal information processing for large remote sensing image database systems and confirmed effectiveness of our proposed method.