Database Reference
In-Depth Information
Gibbon, D. C., & Liu, Z. (2008). Introduction to Video Search Engines (1st ed.). Springer.
Groff, J. R., & Weinberg, P. N. (2002). SQL: The Complete Reference (2nd ed.). McGraw-Hill, Osborne
Media.
Kosch, H. (2003). Multimedia Database Management Systems: Indexing, Access, and MPEG-7 . Boca
Raton, FL, USA: CRC Press, Inc.
Lew, M. S., Sebe, N., Djeraba, C., & Jain, R. (2006). Content-based multimedia information retrieval:
State of the art and challenges. [TOMCCAP]. ACM Transactions on Multimedia Computing, Commu-
nications, and Applications , 2 (1), 1-19. doi:10.1145/1126004.1126005
Melton, J. (2001). SQL:1999 - Understanding Relational Language Components. The Morgan Kaufmann
Series in Data Management Systems (1st ed.). Morgan Kaufmann.
Mostefaoui, A. (2006). A modular and adaptive framework for large scale video indexing and content-based
retrieval: the SIRSALE system. Software, Practice & Experience , 36 (8), 871-890. doi:10.1002/spe.722
Muller, H. (2008). Medical multimedia retrieval 2.0. IMIA Yearbook of Medical Informatics , 2008 , 55-63.
Samet, H. (2006). Foundations of Multidimensional and Metric Data Structures . San Francisco, CA:
Morgan Kaufmann.
Vasconcelos, N. (2008). From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval.
IEEE Computer , 40 (7), 20-26.
Vaswani, V. (2004). The Future of SQL. In MySQL: The Complete Reference . McGraw-Hill/Osborne.
Zezula, P., Amato, G., Dohnal, V., & Batko, M. (2006). Similarity Search: The Metric Space Approach
(Series Advances in Database Systems, vol. 32), Springer.
Zhang, Z., & Zhang, R. (2008). Multimedia Data Mining: A Systematic Introduction to Concepts and
Theory. Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Chapman & Hall; 1 edition.
Zhou, S. X., & Huang, T. S. (2003). Relevance feedback in image retrieval: A comprehensive review.
Multimedia Systems , 8 (6), 536-544. doi:10.1007/s00530-002-0070-3
KEY TERMS AND DEFINITIONS
Content-Based Image Retrieval: consists of the retrieval of images based on the dissimilarity of
features extracted from the images.
Similarity Evaluation: an operation that consists of a sequence of computational tasks in order to
obtain a value quantifying how close (or far) two multimedia objects are.
Similarity Queries: are those queries where the search criteria is computed based on the similarity
among multimedia objects
Feature Extraction Algorithms: mathematical routines that generate numerical vectors that rep-
resent an image
Search WWH ::




Custom Search