Regular ArticleA Flexible Image Database System for Content-Based Retrieval☆
References (45)
- et al.
Index-based object recognition in pictorial data management
Comput. Vision Graphics and Image Processing.
(1990) - et al.
Image retrieval using color and shape
Pattern Recognition
(1996) Satisfying general proximity/similarity queries with metric trees
Information Processing Letters
(1991)- et al.
Texture classification using texture spectrum
Pattern Recognit. Lett.
(1990) - et al.
A visual information management system for the interactive retrieval of faces
IEEE Trans. Knowledge Data Eng.
(1993) - et al.
Proximity matching using fixed-queries trees
Combinatorial Pattern Matching
(1994) - J. Barros, J. French, W. Martin, P. Kelley, and, M. Cannon, Using the triangle inequality to reduce the number of...
A New Data Structure for Fast Approximate Matching
(1994)- A. Berman, and, L. G. Shapiro, A flexible image database system for content-based retrieval, in, 17th International...
- A. P. Berman, and, L. G. Shapiro, Efficient image retrieval with multiple distance measures, in, Proceedings of the...
3d visual query language for image databases
J. Visual Lang. Comput.
Design considerations of a pictorial database system
Int. J. Policy Anal. Inf. Systems
Iconic indexing by 2d strings
IEEE Trans. Pattern Anal. Mach. Intell.
Finding naked people
Proceedings of the European Conference on Computer Vision
Query by image and video content: The QBIC system
Computer
Visual Information Retrieval: A Virage Perspective
Cited by (68)
Recent developments of content-based image retrieval (CBIR)
2021, NeurocomputingCitation Excerpt :In fact, this algorithm can combine any number of different feature types without any modeling assumptions. Berman et al. [14] presented a set of operations for combining features and proposed a Flexible Image Database System (FIDS) in which the gridded distance measures and combining operations can also combine any group of multiple types of features. Moreover, Zhao et al. [15] adopted the Sparse Representation (SR) into image retrieval.
An efficient technique for retrieval of color images in large databases
2015, Computers and Electrical EngineeringCitation Excerpt :The similarity score between a query and a database image is calculated as a weighted sum of the distances between the two color vectors and shape descriptors. In FIDS (Flexible Image Database System) [6], the distance between wavelet coefficients, is some weighted difference. An overall distance can be calculated by taking the weighted sum, maximum, or minimum of the individual feature distances, which preserves metric properties.
Monitoring of illicit pill distribution networks using an image collection exploration framework
2012, Forensic Science InternationalCitation Excerpt :Local binary patterns. Local binary patterns [24] are a measure of image texture. The goal is to define a set of binary patterns (black and white) that can be found around each pixel.
Content-based histopathology image retrieval using a kernel-based semantic annotation framework
2011, Journal of Biomedical InformaticsCitation Excerpt :For instance, as it is shown in Fig. 1, the NPC pattern, highlighted in dotted lines (green), contains a mixture of the textures inside the nodule, the edges provided by the cleft, and the density of the palisading cells. To describe the different visual characteristics of histopathology patterns, seven feature spaces have been selected: gray scale histogram, invariant feature histogram [24], local binary patterns [25], RGB color histogram [24], bag of SIFT features, Sobel histogram [26] and Tamura texture histogram [27]. These seven low-level features are complementary with respect to the kind of measure they do over image pixels, since they apply different computations to build the histograms.
A new pyramid-based color image representation for visual localization
2010, Image and Vision ComputingObjective evaluation of approaches of skin detection using ROC analysis
2007, Computer Vision and Image Understanding
- ☆
This research was partially supported by the National Science Foundation under Grant IRI-9711771.
- †
Corresponding author.