We introduce a new method for color image indexing and content-based retrieval. An image is divided into small sub- images and the visual appearance of which is characterized by a colored pattern appearance model. The statistics of the local visual appearance of the image are then computed as measures of the global visual appearance of the image. The visual appearance of the small sub-images is modeled by their spatial pattern, color direction and local energy strength. To encode the local visual appearance, an approach based on vector quantization (VQ) is introduced. The distributions of the VQ code indices are then used to index/retrieve the images. The new method can not only be used to achieve effective image indexing and retrieval; it can also be used for image compression. Based on this method, indexing and retrieval can be easily and conveniently performed in the compressed domain without performing decoding operation.
Guoping Qiu, Guoping Qiu,
"Image indexing using a colored pattern appearance model", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410969; https://doi.org/10.1117/12.410969