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Content based Image Indexing & Retrieval
- Source :
- International Journal of Computer & Organization Trends. 16:25-29
- Publication Year :
- 2015
- Publisher :
- Seventh Sense Research Group Journals, 2015.
-
Abstract
- Multimedia (Images) are being generated at an enormous rate by sources such as defense and civilian satellites, biomedical imaging, military reconnaissance and surveillance flights and home entertainment systems, scientific experiments, fingerprinting and mug-shot-capturing devices. For example, National Aeronautics and Space Administration (NASA) Earth Observing System will produce about 1 TB of image data per day when completely operational. A content- based image retrieval (CBIR) system is required to efficiently and competently use information from these image data sets. Such a system that helps users who is unfamiliar with the database can retrieve relevant images based on their contents.
- Subjects :
- Multimedia
Computer science
Home entertainment
Search engine indexing
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Scientific experiment
Space (commercial competition)
computer.software_genre
Image (mathematics)
Content (measure theory)
Medical imaging
Image retrieval
computer
Subjects
Details
- ISSN :
- 22492593
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- International Journal of Computer & Organization Trends
- Accession number :
- edsair.doi...........854d2d7fd8f02dc81aa17a5d4b3b0bfc
- Full Text :
- https://doi.org/10.14445/22492593/ijcot-v16p305