Analytical method for mobile elements in Geo-video using random graph grammar

Decomposition of a Geo-video stream presents the expression of video from spatial feature set. Although it has been studied widely, spatial relations underlying a scenario are not well understood. Here we use a method which takes advantage of` random graph theory to investigate the semantic knowledge in Geo-video, leading to correlation analysis of the target motion elements in a Geo-video stream. We used the connections of target motion elements, both correlation and continuity, to lead to a structure in time series that reveals clues to the event development of the video stream. Furthermore, it provides a method for the effective integration of semantic and campaign information. Ultimately, experimental results show that the method offers a better description of video elements than can be achieved with existing schemes. In addition, the proposed method offers a new way of thinking about the semantic description of the geographic video scenarios.