Content-based image indexing and retrieval for visual information systems
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Summary
New paradigms for content-based image indexing and retrieval for Visual Information Systems are presented and the problem of image retrieval is formulated as a two dimensional hashing as oppose to a one-dimensional hash vector used in conventional hashing techniques.
- Type
- dissertation
- Published
- 2000-01-01
- Cited by
- 0
- References
- 75
- Access
- Open access
- OpenAlex
- https://openalex.org/W3741568
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:57245079
Keywords
Information retrieval, Search engine indexing, Image retrieval, Computer science, Visual Word
References
- Multimedia Database Management Systems
- Managing Gigabytes: Compressing and Indexing Documents and Images
- Information Theory: 1948-1998 - Guest Editorial
- Management information systems : conceptual foundations, structure, and development
- Information Systems: A Management Perspective
- A guide to image processing and picture management
- Applications of spatial data structures
- Wavelets for computer graphics: theory and applications
- Symbolic Projection for Image Information Retrieval and Spatial Reasoning
- Principles of pictorial information systems design
- Semantic Queries with Pictures: The VIMSYS Model
- Design of Hashing Algorithms
- Automatic text processing
- Data and Image Compression: Tools and Techniques
- Image data compression - block truncation coding
- Introduction to Data Compression
- Vector quantization and signal compression
- Multimedia Database Management - Requirements and Issues
- Foundations of multimedia database systems
- Storage and Retrieval of Compressed Images Using Wavelet Vector Quantization
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