Research In Content-Based Video Retrieval System

As the video information introduced cosmically, the traditional retrieval technology based on key words can not achieve the satisfying goals, instead, content-based video retrieval system has been the focus of study on video in recent years. The subject makes an analysis on the theory frame of nowadays video retrieval, add the improvements to the traditional algorithms of printed character recognition, and realize the real-time text detection and character recognition on the complex background. The paper Analyzes the fruitful information of the text in video, develops the symbolic space to describe the shot based on the video segmentation and scenes grouping, and establishes the video retrieval system characterized the text information.The study on query system using the basketball video fragments as an example is involved in such areas: first, in the condition of "video-flash" and "jump" phenomenon, the "two-level video segmentation algorithm" solves the mistaken detection of the shot edge; second, the part or the whole video as the result of detection can be well played; third, the text on the complex background can be detected and fixed, not only the speed but also the right proportion have been improved; forth, the text can be divided into "regular detection" and "irregular detection" . The "double thresholdwindow detection algorithm " is applied in the former, and another uses the progress of "crude detection algorithm " and "delicate detection" ; fifth, using the improved templates matching method to realize the printed character recognition. "binary mask templates matching" and "tri-grayscale matching" algorithms are introduced."NBA video retrieval system" has been developed using the Microsoft Visual Studio C++6. 0 under "Microsoft Window 2000 professional" . The system is designed on the module structure, so the arrangement is clearly demarcated, and the interface is handled friendly. It can realize highly right rate of recognition, and satisfied the user's real-time retrieval. At last, the algorithm is verified, and the later research directions are also pointed out.