QBIC: Query by Image Content
Developed by IBM
Extensive use of human computer interaction
Data Model
Database population
Arbitrary number of image objects are identified by the user using semi-automatic tool.
Feature calculation
Image query
The user navigates and refines the query until satisfied.
Content Similarity Retrieval
Semi-Automatic Object Identification
-more acurate than automatic object identification
-outlines the object in the image
-floodfill the local region with the similar pixel
Automatic Object Identification
-partition based
-region-based "Query-by-painting" for color
Similarity Measures
All of these are user adjustable. This measure is taken by the weighted sum of the Euclidean distance.
Query by example
Direct query: The user specifies the color/shape/texture/sketch or combination of these.
Feature palettes or pickers
Query by sketch
Query-by-painting
Results and Query Refinement
Ranked set of thumnail images that may be browsed.