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Examples of Our Work

Interactive visual information processing, interactive image retrieval, segmentation .... (link ...)

Example-based Image Processing  ...  (link)

Unifying histogram-based image content descriptor for content-based image retrieval - the CPAM and AI framework  ...  (link ...)

Integrated framework for image coding, indexing, and content-based image retrieval ... (link ...)

Visual guided browsing and navigation for fast image retrieval ... (link ...)

Fast comprehensive tone mapping for high dynamic range image visualization ... (link ...)

Colorizing black and white photos ... (link ....)

Making beautiful pictures,  computational photography ... (link ....)

Machine learning, pattern recognition ... (link ...)

Image data mining, image and feature co-clustering ....



In one-sided clustering, information about how important a particular feature (e.g. a representative patch in the CPAM histogram) is to a particular image cluster is not available

Image data mining, image and Feature Co-clustering

We are interested in the use of data mining technology for managing large image repository. In particular, we are studying image and feature co-clustering technology for developing novel content-based image retrieval methods.


G. Qiu,"Bipartite graph partitioning and content-based image clustering", CVMP 2004, 1st European Conference on Visual Media Production (CVMP), The IEE, Savoy Place, London,  15-16 March 2004 (PDF)
G. Qiu,"Image and feature co-clustering",  ICPR2004, 17th International Conference on Pattern Recognition, Cambridge, United Kingdom, 23 - 26 August 2004  (PDF)  (Supplementary materials)
J. Guan, G. Qiu and X-Y Xue, "Spectral Images and Features Co-Clustering with Application to Content-based Image Retrieval", MMSP2005, IEEE International Workshop on Multimedia Signal Processing (PDF)

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