QBIC project: querying images by content, using color, texture, and shape

@inproceedings{Niblack1993QBICPQ,
  title={QBIC project: querying images by content, using color, texture, and shape},
  author={Wayne Niblack and Ron Barber and William Equitz and Myron Flickner and Eduardo H. Glasman and Dragutin Petkovic and Peter Yanker and Christos Faloutsos and Gabriel Taubin},
  booktitle={Electronic Imaging},
  year={1993}
}
In the query by image content (QBIC) project we are studying methods to query large on-line image databases using the images' content as the basis of the queries. Examples of the content we use include color, texture, and shape of image objects and regions. Potential applications include medical (`Give me other images that contain a tumor with a texture like this one'), photo-journalism (`Give me images that have blue at the top and red at the bottom'), and many others in art, fashion… 
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References

SHOWING 1-10 OF 27 REFERENCES
Nigma: an Image Retrieval System
The paper presents the functionality of a system which retrieves images on the basis of automatically generated indexes (i.e. semantic image representations, obtained by automatic image analysis,
Enigma: an image retrieval system
The paper presents the functionality of a system which retrieves images on the basis of automatically generated indexes (i.e. semantic image representations, obtained by automatic image analysis,
Content-based indexing technique using relative geometry features
TLDR
A content-based indexing technique which is based on the theory of weighted center-of-mass, which can be used for retrieving magnetic resonance images of patients'' chests within the medical image domain.
The R*-tree: an efficient and robust access method for points and rectangles
TLDR
The R*-tree is designed which incorporates a combined optimization of area, margin and overlap of each enclosing rectangle in the directory which clearly outperforms the existing R-tree variants.
Mathematical Transform Of (R, G, B) Color Data To Munsell (H, V, C) Color Data
In studying new-generation color image codings, it is very effective 1) to code signals in the space of inherent tri-attributes of human color perception, and 2) to relate a coding error with
Interactive outlining: an improved approach using active contours
TLDR
An improved method based on energy minimizing active contours or `snakes' is used to outline objects on images in an interactive environment using a two-stage algorithm and gives the user the possibility of incremental contour tracking, thus providing feedback on the refinement process.
The Grid File: An Adaptable, Symmetric Multikey File Structure
TLDR
This work discusses in detail the design decisions that led to the grid file, present simulation results of its behavior, and compare it to other multikey access file structures.
How do you describe a symbol?: The problems involved in retrieving symbols from a database
TLDR
The paper identifies the need for a suitable management system for retrieving images from a database and a classification structure is derived which starts with a division into graphic, semantic and bibliographic dimensions.
R-trees: a dynamic index structure for spatial searching
TLDR
A dynamic index structure called an R-tree is described which meets this need, and algorithms for searching and updating it are given and it is concluded that it is useful for current database systems in spatial applications.
Operations on Images Using Quad Trees
TLDR
Warnock-type algorithms are presented for building the quad tree for the picture of the boundary of apolygon, and for coloring the interior of such a polygon.
...
1
2
3
...