Video Retrieval Using Video Object-Trajectory and Edge Potential Function

A novel video retrieval tool based on video objects (VOs) and object's trajectories is presented. The algorithm extends the concept of Edge Potential Functions (EPF), already used in shape-based image retrieval, tailored to work on shapes extracted from video object planes (VOP). First, the initial model is detected by using local motion and global motion information. After the moving object is initialized, tracking object is performed to construct its trajectory features. Then, VOP is extracted and Key-VOP which is used as visual summarization is detected. Finally, the special measure is constructed based on EPF is used as the main measure to perform video retrieval. Experimental results demonstrate that the proposed algorithm is efficient and fast in indexing a video sequence according to the presence of specific video objects and their trajectories.