Power Line Inspection Of Video Retrieval And Processing Based On Aerial Images

With the rapid development of network technology, as well as the promotion of the multimedia, continuously produce various video data, along with more and more established video database, however, the utilization of a lot of digital video is very low under the existing conditions, because the video data is unstructured, data redundancy and data amount. In the power industry, with the helicopter patrol has become the main way of power line inspection, inspection of video processing is mainly in manual, however, manual is heavy workload, low efficiency, high undetected, this paper presents a video-based video retrieval aerial approach to solve this problem effectively.Video information retrieval is from a large amount of video data to find the desired video clip, it is based on the multi-disciplinary theory, mainly related to pattern recognition, image processing, computer graphics, artificial intelligence. This paper focuses on shot segmentation and key frame extraction in the compressed domain video. Paper proposed a key frame extraction algorithm based on compressed domain, by this algorithm, coding data can be extracted and processed to form the characteristic curve directly, then using Fourier descriptors to redraw the curve for shot segmentation and key frame extraction. Research work is as follows:Using this method,processing on a shot image of helicopter patrol,key frame extracted from every storyboard to form a new video. The amount of data is one tenth of the original video, which greatly reduces the workload of inspection. On this basis, this paper puts forward extraction algorithm based on the characteristics of insulator through the Haar-like, ever use the Adaboost algorithm to extract required video of insulator from feature matching. The above results show the effectiveness and feasibility of the algorithm proposed in this paper, can improve the efficiency and accuracy of video processing for power line inspection.