A color clustering technique for image segmentation
Computer Vision, Graphics, and Image Processing
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color image quantization for frame buffer display
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Least squares quantization in PCM
IEEE Transactions on Information Theory
Matching and retrieval based on the vocabulary and grammar of color patterns
IEEE Transactions on Image Processing
An efficient color representation for image retrieval
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
A robust approach to segment desired object based on salient colors
Journal on Image and Video Processing - Color in Image and Video Processing
An effective image retrieval scheme using color, texture and shape features
Computer Standards & Interfaces
Comparative study of global color and texture descriptors for web image retrieval
Journal of Visual Communication and Image Representation
Retrieval of multiple instances of objects in videos
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Multimedia Tools and Applications
Extending MPEG-7 for efficient annotation of complex web 3D scenes
Multimedia Tools and Applications
A weighted dominant color descriptor for content-based image retrieval
Journal of Visual Communication and Image Representation
A new content-based image retrieval technique using color and texture information
Computers and Electrical Engineering
Content-based image retrieval by integrating color and texture features
Multimedia Tools and Applications
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Dominant color descriptor (DCD) is one of the color descriptors proposed by MPEG-7 that has been extensively used for image retrieval. Among the color descriptors, DCD describes the salient color distributions in an image or a region of interest. DCD provides an effective, compact, and intuitive representation of colors presented in an image. In this paper, we will develop an efficient scheme for dominant color extraction. This approach significantly improves the efficiency of computation for dominant color extraction. In addition, we propose a modification for the MPEG-7 dissimilarity measure, which effectively improves the accuracy of perceptive similarity. Experimental results show that the proposed method achieves performance improvement not only in saving features extraction cost but also perceptually similar image retrieval.