Design and Implementation of Semantic Concept Based Video Retrieval System
基于语义概念的视频检索系统的设计与实现

This paper introduces the design and implementation of a semantic concept based video retrieval system,which consists of shot boundary detection and key frame extraction subsystem,semantic concept detection subsystem and user retrieval subsystem. First,digital video is divided into hierarchical structure for retrieval. Then,efficient low level feature of key frames are extracted. Support Vector Machine is used to detect concepts in such key frames,and the video retrieval is based on those concepts. In the procedure of concept detection,we take a linearly weighted fusion method based on validation precision to improve the average precision. Experiments show that the Mean Average Precision of our system is as high as the best one of all submissions.