Research On Application Of Video Editing Technology Based On Mark In Athletics Competes Analytical

In recent years, along with the computer network and the video capture technology's fast development, It has had produced massive sports video data. It is becoming a question which urgent needs to solve that how effective and fast retrieves the part from these data that the trainer or the athlete need. In this paper, it introduces a technology about the video making that is to describe the semantic content of the video, and then to realize the highly effective video retrieval.It has its flawed that using the tradition video retrieval method which is based on the key word or the text. For example the editors search the interesting video fragment from the media resources storehouse, can only through the manual search. The video retrieval based on the content is to split the video, extract the key frame and extract the dynamic characteristic. This process is to extract characteristic of the video image. Therefore the user must submit the picture, the audio or video fragment to the system. This method is not resolve the gap between under laying characteristic and the high-level semantic concept, so user cannot get the interesting video through submitting the terms of high-level semantics concept. This topic proposed a new method about the video retrieval and reediting based on the video mark to save the time and efficiency of video retrieval. Using this method the trainer can retrieve more useful strategies except experiences.This article's research is established on the project'Ping-Pong scout gathering and analyses'that is developed by the North China University of Technology Software Architecture Laboratory. It is responsible for the preliminary video processing by group schoolmate. That is gathering the video mark information and inserting it into video, and I am responsible for the reedit of the video according to the users'requirement.Moreover, this topic has realized a video magazine player system. This article gives the detailed introduction of the system's architecture, the logical organization as well as each sub module functions, finally gives system's test result. This system has solved the flaw of the manual blind acquisition video, and can gives synchronize the direct-viewing diagram of the right video which is played. It has saved the time for trainer to search the videos and given reasonable instruction and the decision-making according to the statistical result.