Definition
Video database research falls into the following categories: video data models, video extraction, video query language, and video index structures.
Introduction
The past decade has seen explosive growth in the ability of individuals to create and/or capture digital video, leading slowly to large scale personal and corporate digital video banks. Over the last 8–10 years, there has been a tremendous amount of work on creating video databases. Video database research falls primarily into the following categories:
- 1.
Video data models. What kind of data about a video should we store?
- 2.
Video extraction. How should this data be automatically extracted from a video?
- 3.
Video query language. How should we query this data?
- 4.
Video index structures. How should we index this data for faster retrieval?
We discuss multiple potential answers to these four important topics.
Video Data Models
Throughout this paper, we will assume that a video υ is divided up into a sequence b...
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References
G. Boccignone, A. Chianese, V. Moscato, and A. Picariello, “Foveated Shot Detection for Video Segmentation,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, No. 3, 2005, pp. 365–377.
K. Koijima, M. Hironaga, S. Nagae, and Y. Kawamoto, “Human Motion Analysis Using the Rhythm – A Reproducing Method of Human Motion,” Journal of Geometry and Graphics, Vol. 5, No. 1, 2001, pp. 45–49.
L. Bretzner, I. Laptev, and T. Lindeberg, “Hand Gesture Recognition Using Multi-Scale Colour Features, Hierarchical and Particle Filtering,” Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FGR'02), IEEE Computer Society, 2002, pp. 1–6.
A.F. Bobick and J.W. Davis, “The Recognition of Human Movement Using Temporal Templates,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 3, 2001 pp. 257–267.
S. Adali, K.S. Candan, S.-S. Chen, K. Erol, and V.S. Subrahmanian, “AVIS: Advanced Video Information Systems,” ACM Multimedia Systems Journal, Vol. 4, 1996, pp. 172–186.
E. Hwang and V.S. Subrahmanian, “Querying Video Libraries,” Journal of Visual Communication and Image Representation, Vol. 7, No. 1, 1996, pp. 44–60.
H. Martin and R. Lozano, “Dynamic Generation of Video Abstracts Using an Object Oriented Video DBMS,” Networking and Information Systems Journal, Vol. 3, No. 1, 2000, pp. 53–75.
M.R. Lyu, E. Yau, and S. Sze, “A Multilingual, Multimodal Digital Video Library System,” JCDL'02: Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries, 2002, pp. 145–153.
T. Evgeniou, M. Pontil, C. Papageorgiou, and T. Poggio, “Image Representations and Feature Selection for Multimedia Database Search,” IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 4, 2003, pp. 911–920.
M. Betke and N. Makris, “Fast Object Recognition in Noisy Images Using Simulated Annealing,” Proceedings of the Fifth International Conference Computer Vision, 1995, pp. 523–530.
A. Yuille, P. Hallinan, and D. Cohen, “Feature Extraction from Faces Using Deformable Templates,” International Journal on Computer Vision, Vol. 8, No. 2, 1992, pp. 99–111.
B. Moghaddam and A. Pentland, “Probabilistic Visual Learning for Object Detection,” Technical Report 326, Mitmedia, 1995.
M. Osadchy and D. Keren, “A Rejection-Based Method for Event Detection in Video,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 4, 2004, pp. 534–541.
H. Sidenbladh, M.J. Black, and D.J. Fleet, “Stochastic Tracking of 3D Human Figures Using 2D Image Motion,” Proceedings of the European Conference on Computer Vision, 2000, pp.702–718.
M.E. Leventon and W.T. Freeman, “Bayesian Estimation of 3-D Human Motion from Image Sequences,” Mitsubishi Electric Research Lab, Vol. TR-98-06, 1998.
M.J. Black, D.J. Fleet, and Y. Yaccob, “Robustly Estimative Changes in Image Appearance,” Computer Vision and Image Understanding, Vol. 78, 2000, pp. 8–31.
A.F. Bobick and J.W. Davids, “The Recognition of Human Movement Using Temporal Templates,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, 2001, pp. 257–267.
M.R. Lyu, J. Song, and M. Cai, “A Comprehensive Method for Multilingual Video Text Detection, Localization, and Extraction,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, No. 2, 2005, pp. 243–255.
A. Chianese, R. Miscioscia, V. Moscato, S. Parlato, and A. Picariello, “A Fuzzy Approach to Video Scenes Detection and its Application for Soccer Matches,” IEEE International Conference on Intelligent Systems Design and Applications, 2004.
M. Fayzullin, V.S. Subrahmanian, M. Albanese, and A. Picariello. “The Priority Curve Algorithm for Video Summarization,” Proceedings of ACM MMDB 2004, pp. 28–35.
A. Picariello, M.L. Sapino, and V.S. Subrahmanian. “Algebraic Video Environment,” in B. Furht and O. Marques (Eds.) “Handbook of Video Data Bases,” CRC, 2003, pp. 457–482.
P. Ciaccia and M. Patella, “Searching in Metric Spaces with User-Defined and Approximate Distances,” ACM Transactions on Database Systems, Vol. 27, No. 4, 2002, pp. 398–437.
V.S. Subrahmanian, “Principles of Multimedia Database Systems,” Morgan Kaufmann, Los Altos, CA, 1998.
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Cesarano, C., Fayzullin, M., Picariello, A., Subrahmanian, V.S. (2008). Video Databases. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_243
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DOI: https://doi.org/10.1007/978-0-387-78414-4_243
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