MetaSEEk: a content-based metasearch engine for images
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Summary
MetaSEEk is a content-based meta-search engine used for finding images on the Web based on their visual information designed to intelligently select and interface with multiple on-line image search engines by ranking their performance for different classes of user queries.
- Type
- article
- Published
- 1997-12-23
- Cited by
- 93
- References
- 13
- OpenAlex
- https://openalex.org/W2023370952
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15811067
Keywords
Metasearch engine, Search engine, Information retrieval, Computer science, Search analytics
References
- Multi-Engine Search and Comparison Using the MetaCrawler
- Harvest: A Scalable, Customizable Discovery and Access System
- Experiences with selecting search engines using metasearch
- Textural Features Corresponding to Visual Perception
- Visual information retrieval from large distributed online repositories
- Virage image search engine: an open framework for image management
- VisualSEEk: a fully automated content-based image query system
- Query by Image and Video Content: The QBIC System
- The Effectiveness of GlOSS for the Text Database Discovery Problem
- Multi-Service Search and Comparison Using the MetaCrawler
- The effectiveness of GIOSS for the text database discovery problem
Cited by
- Information retrieval on Internet using meta-search engines : A review
- An image search for tourist information using a mobile phone
- COLOR IMAGE SEMANTIC INFORMATION RETRIEVAL SYSTEM USING HUMAN SENSATION AND EMOTION
- On-line content-based image retrieval system using joint querying and relevance feedback scheme
- Texture Feature Matching Methods for Content based Image Retrieval
- Query by Image for Efficient Information Retrieval: A Necessity
- Visual Investigation Using Circular Partitioning of Abstract Images
- Content-based retrieval from image databases using sketched queries
- A language-independent, open-vocabulary system based on HMMs for recognition of ultra low resolution words
- An open framework for distributed multimedia retrieval
- Semi-supervised image classification based on a multi-feature image query language
- A Framework for the Representation of Geospatial Image Processing Operations
- Sketch-based image matching Using Angular partitioning
- Sketch-based image retrieval using angular partitioning
- Efficient Indexing, Browsing and Retrieval of Image/Video Content
- Probabilistic models for combining diverse knowledge sources in multimedia retrieval
- PicSOM - A Framework for Content-Based Image Database Retrieval using Self-Organizing Maps
- A Distributed Content-Based Search Engine Based on Mobile Code and Web Service Technology
- A multimedia indexing and retrieval framework for multimedia database systems
- Panel: content-based image indexing and retrieval with mobile agents
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