The design and analysis of spatial data structures
The design and analysis of spatial data structures
Elements of information theory
Elements of information theory
International Journal of Computer Vision
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Content based image retrieval and information theroy: a general approach
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Digital Image Processing
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Content-Based Image Retrieval Systems
ASSET '99 Proceedings of the 1999 IEEE Symposium on Application - Specific Systems and Software Engineering and Technology
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Content-based image retrieval: color and edges
Content-based image retrieval: color and edges
The Capacity and the Sensitivity of Color Histogram Indexing
The Capacity and the Sensitivity of Color Histogram Indexing
Color-spatial image indexing and applications
Color-spatial image indexing and applications
Lossless set compression of correlated information
Lossless set compression of correlated information
An information theoretic approach to content based image retrieval
An information theoretic approach to content based image retrieval
Content based image retrieval and information theroy: a general approach
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Effective invariant features for shape-based image retrieval: Research Articles
Journal of the American Society for Information Science and Technology
Texture image retrieval: a feature-based correspondence method in fourier spectrum
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
| Hi-index | 0.00 |
Content-based image retrieval is based on the idea of extracting visual features from image and using them to index images in a database. The comparisons that determine similarity between images depend on the representations of the features and the definition of appropriate distance function. Most of the research literature uses vectors as the predominate representation given the rich theory of vector spaces. While vectors are an extremely useful representation, their use in large databases may be prohibitive given their usually large dimensions and similarity functions. In this paper, we propose similarity measures and an indexing algorithm based on information theory that permits an image to be represented as a single number. When use in conjunction with vectors, our method displays improved efficiency when querying large databases.