Digital image processing
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
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
IEEE Transactions on Pattern Analysis and Machine Intelligence
Informaton theoretic similarity measures for content based image retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Digital Image Processing
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)
ImageRover: A Content-Based Image Browser for the World Wide Web
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
Informaton theoretic similarity measures for content based image retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Journal of the American Society for Information Science and Technology
An automated approach for the optimization of pixel-based visualizations
Information Visualization
Towards the semantic extraction of digital signatures for librarian image-identification purposes
Journal of the American Society for Information Science and Technology
Exploring the relationship between feature and perceptual visual spaces
Journal of the American Society for Information Science and Technology
Image retrieval model based on weighted visual features determined by relevance feedback
Information Sciences: an International Journal
Efficient image concept indexing by harmonic & arithmetic profiles entropy
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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
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A fundamental aspect of content-based image retrieval (CBIR) is the extraction and the representation of a visual feature that is an effective discriminant between pairs of images. Among the many visual features that have been studied, the distribution of color pixels in an image is the most common visual feature studied. The standard representation of color for content-based indexing in image databases is the color histogram. Vector-based distance functions are used to compute the similarity between two images as the distance between points in the color histogram space. This paper proposes an alternative real valued representation of color based on the information theoretic concept of entropy. A theoretical presentation of image entropy is accompanied by a practical description of the merits and limitations of image entropy compared to color histograms. Specifically, the L1 norm for color histograms is shown to provide an upper bound on the difference between image entropy values. Our initial results suggest that image entropy is a promising approach to image description and representation.