Research And Implementation Of Content-Based Video Abstraction System

As the rapid development of network technology, the application fields of multimedia technology are also increasing broadly. It has become a hot research topic that how to browse video content quickly, how to express the main content of the video succinctly as well as how to achieve fast retrieval of large-capacity video library and so on.In this context, the video abstract technology emerged as an effective method to solve the problems. The analysis of the domestic and foreign relevant literature about video abstract in recent years is that the perspective of video abstract concern about and methods used by video abstract have affected the treatment effect of video abstract system. This dissertation would research and implement a content-based video abstract system.With some questions met in the shot boundary detection(SBD), this dissertation proposed a algorithm for SBD based on the local image feature points matching. local Image features are detected by using the detector of SURF in the algorithm and there are two phases of SBD, that is, rough detection and fine detection. The purpose of the rough detection recommended the possible existence of boundary interval and the fine detection is to judge whether there is shot boundary in the recommended boundary interval as well as to determine the location of the boundary. In a series of test experiments, the algorithm shows good stability and accuracy. In term of shot clustering, the affinity propagation clustering algorithm is applied to the shot clustering. Experimental results show that the method is effective and reasonable. In terms of the image with complex background during the design of shot important degree model, this dissertation proposed a face detection algorithm based on multi-feature fusion. Through the contrast test as well as online detection experiments, it proves that the algorithm has good stability and accuracy. The video abstract is created by a video abstract generation method based on shot important degree model. Finally, according to the research achievement, this dissertation designed and implemented a system of content-based video abstract. The system was realized by using the C++language, OpenCV open source library and other related libraries, with a certain application value.