International Journal of Computer Vision
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Comparing images using joint histograms
Multimedia Systems - Special issue on video content based retrieval
A compact and efficient image retrieval approach based on border/interior pixel classification
Proceedings of the eleventh international conference on Information and knowledge management
Spatial Color Indexing and Applications
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Object Tracking using Color Correlogram
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Content-based image retrieval using joint correlograms
Multimedia Tools and Applications
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
Color image indexing using BTC
IEEE Transactions on Image Processing
Color object detection using spatial-color joint probability functions
IEEE Transactions on Image Processing
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Auto color correlation (ACC) technique is proposed to enhance the availability of image content to capture local spatial correlation among different colors rather than using color correlogram technique. An ACC technique can reduce the size of color correlogram from O(m2d) to O(3md). However, it is still not applicable for query purposes in a large image database and especially in a real time image processing. This paper presents an application of a well studied image coding technique, namely block truncation coding (BTC), to reduce the storage space required and to increase the speed of retrieval for ACC algorithm. When an ACC is represented by using a binary matrix (BTC), it does not reduce the number of bins. Therefore, a decimal conversion of the binary stream in each row of the matrix is presented. The experimental results obtained from the two different techniques, Binary Coding Stream Conversion (BCSC) and ACC techniques, are investigated.