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Digital Libraries: Content-Based Retrieval
One important area of interest in Computer Imaging is the storage and efficient retrieval of images in a database or "digital library". How can we retrieve images? How can we describe them? How can we store so many images?
Content-Based Retrieval
- Describe data by its contents.
- Can be used for digital text, sound, music, image, video, e
- Works like a search or a browsing tool -- analogous to the current web search
- Traditional keyword indexing is fast and easy but, has limitations:
- How do you say find me an image of a forrest?
- Keywords are often inaccurate.
Current possibilites to search based on:
- Histogram based measures (color or intensity).
- Edge-feature information.
- Motion Queues
- Texture measures.
- Features merged with keywords.
- Knowledge based (geometric models, fiducials).
Other issues:
- Capitalize upone multiresolution approaches
- Work in the compressed domain to save time.
Real Systems
- IBM's QBIC System (Querry By Image Content)
- Virage System: Visual Information Retrieval Imaging System