Multimedia Database

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Multimedia Database

• By
• Lili Wangsa

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(No Transcript)
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Coding

• Homogeneity
• - continuous and homogenous on appearance
• - possible to detect outline/shape object
• Compactness
• - tend to be connected together
• - parts usually closed tied together
• Symmetry
• - most natural object have a symmetry
• - detected as a strong feature for indexing

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Indexing

• Inversion of terms
• - selecting keywords and use them as index
• Multi-attribute
• - data coded into several categories based on
  bit pattern
• - signature (index and retrieved used)
• Clustering
• - coded by several categories, stored in a
  vector
• - using similarity matrices

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Retrieval

• Query by Contents
• Iconic Query
• SQL Query
• Mixed Query

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References

• 1. A. D. Bimbo, M. Campanai, and P. Nesi, A
  three-dimensional iconic environment for
• image database querying, IEEE Trans.
  Software Eng, 1993.
• 2. M. Flickner, H. Sawhney, W.Niblack, J.
  Ashley, Q. Huang, B. Dom, M Gorkhani, J
• Hafner, D. Lee, D. Petkovic, D.
  Steele, and P. Yanker, Query by image and video
  
• content QBIC system, IEEE Computer
  28, 1995.
• 3. S. K. Chang and T. Kunii, Pictorial database
  systems, IEEE Computer Nov, 1981.
• 4. A. Gupta, S. Santiniy, Toward Feature
  Algebras in Visual Databases The Case
• for a Histogram Algebra, VDB-5, Int.
  Conf. On Visual Databases, Tokyo, 2000.
• 5. E. Izquierdo, J. R. Casas, R. Leonardi, P.
  Migliorati, Noel E. O'Connor,
• I. Kompatsiaris and M. G.
  Strintzis, "Advanced Content-Based Semantic
• Scene Analysis and Information
  Retrieval The SCHEMA project",
• Workshop on Image Analysis for
  Multimedia Interactive Services (WIAMIS 2003),
• London, 2003.