Column-oriented metadata organization of vision objects

Evolution of an Internet had measurable influence on progress in sphere of vision systems. For 20 years, from the first introduction in the world plug-in camera, this branch of the technology incredible widened one's possibilities. Nowadays vision systems are widely used in many areas of human life. They are applied, for example, to industrial quality assurance, burglar alarm, intelligent control systems of traffic control, car parks monitoring or to the border crossings control. The activity of such systems is concerned with the need of large amounts of LOB data types storage. In order to satisfy efficient access to such data, it's necessary to develop adequate mechanisms of data storage and processing. Because of the fact traditional relational systems may be inefficient, the possibility of using the column-oriented database that may speed up the video content management is proposed. Desired efficiency is achieved by images and their metadata separation, and loading the latter (that is: data about data) directly to column-oriented structures. Thus, the search performance of video stored entirely in the single node of the relational databases and with usage of replicas reside in column-oriented databases, was compared.