Trajectory-Based Video Retrieval for Multimedia Information Systems

• Published in: Advances in Information Systems pp. 372 - 382
• Main Authors: Shim, Choon-Bo, Chang, Jae-Woo, Kim, Young-Chang
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2004; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Computer science; control theory; systems; Exact sciences and technology; Information systems. Data bases; Memory organisation. Data processing; Software; Performance evaluation; Motion estimation; Database query; Information system; Soccer; Warping; Image retrieval; Multimedia databases; Information retrieval; Modeling; Object-oriented databases; Video databases; User interface; Computer graphics; Trajectory; Moving body
• ISBN: 9783540234784; 3540234780
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-540-30198-1_38

In this paper, we develop a trajectory-based video retrieval system. To achieve it, we first design a spatio-temporal representation scheme for modeling the trajectories of moving objects in video databases. In addition, we present an efficient trajectory-based retrieval scheme using a k-warping distance algorithm. Finally, we propose a new signature-based access method which can provide good retrieval performance on a trajectory-based query. To show the usefulness of applying our above schemes to a real video database application, we implement a trajectory-based soccer video retrieval system because soccer video data generally contain a lot of motions according to a salient object called soccer ball. Our soccer video retrieval system provides graphic user interfaces for both indexing and retrieval. We also provide the performance analysis of our trajectory-based video retrieval scheme.