International Journal of Computer Vision
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
Fast image retrieval using color-spatial information
The VLDB Journal — The International Journal on Very Large Data Bases
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)
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Single color extraction and image query
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
PicHunter: Bayesian Relevance Feedback for Image Retrieval
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Compact colour descriptors for colour-based image retrieval
Signal Processing - Special section on content-based image and video retrieval
Gabor Wavelet Correlogram Algorithm for Image Indexing and Retrieval
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
An ordinal co-occurrence matrix framework for texture retrieval
Journal on Image and Video Processing
Spatial color descriptor for image retrieval and video segmentation
IEEE Transactions on Multimedia
Content-Based Image Retrieval Using Multiresolution Color and Texture Features
IEEE Transactions on Multimedia
Matching and retrieval based on the vocabulary and grammar of color patterns
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Color object detection using spatial-color joint probability functions
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Content-based facial image retrieval using constrained independent component analysis
Information Sciences: an International Journal
Eigen combination of colour and texture informations for image segmentation
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
A weighted dominant color descriptor for content-based image retrieval
Journal of Visual Communication and Image Representation
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Color features are the key-elements widely used in content-analysis and retrieval. However, most of them show severe limitations and drawbacks due to their inefficiency of modeling the human visual system with respect to color perception. Moreover, they cannot characterize all the properties of the color composition in a visual scenery. In this paper we present a perceptual color feature, which describes all major properties of prominent colors both in spatial and color domains. In accordance with the well-known Gestalt law, we adopt a global, top-down approach in order to model (see) the whole color composition before its parts and in this way we can avoid the problems of pixel-based approaches. In color domain the dominant colors are extracted along with their global properties and quad-tree decomposition partitions the image so as to characterize the spatial color distribution (SCD). We propose two efficient SCD descriptors; the proximity histograms, which distill the histogram of inter-color distances and the proximity grids, which cumulate the spatial co-occurrence of colors in a 2D grid. Both approaches are configurable and provide means of modeling SCD in a scalar and directional way. Combination of the extracted global and spatial properties forms the final descriptor, which is unbiased and robust to non-perceivable color elements in both spatial and color domains. Finally a penalty-trio model fuses all color properties in a similarity distance computation during retrieval. Experimental results approve the superiority of the proposed technique against powerful global and spatial color descriptors.