Title :
CIREC : Cluster Correlogram Image Retrieval and Categorization using MPEG-7 Descriptors
Author :
Abdullah, A. ; Wiering, Marco A.
Author_Institution :
Dept. of Inf. & Comput. Sci., Utrecht Univ.
Abstract :
Content-based image retrieval is generally about understanding of information in the images concerned. The more the system is able to understand the content of images the more effective it will be in retrieving desired images. In this paper, we have developed a method that combines a clustering technique with the color correlation histogram. According to this method, an image is divided into several blocks using a fixed partitioning scheme. Then, selected lower-level MPEG-7 features are used to represent the partitions and a clustering technique is applied to group similar patterns into a cluster. The cluster indices will then be used to construct a corellogram which is not based on the lower-level primitives, but on regions consisting of a distribution of primitives. The result shows that the proposed method significantly outperforms other methods on image retrieval and categorization
Keywords :
content-based retrieval; image classification; image coding; image colour analysis; image retrieval; pattern clustering; CIREC; MPEG-7 descriptors; cluster correlogram image retrieval; color correlation histogram; content-based image retrieval; fixed partitioning; image categorization; pattern clustering; Computational intelligence; Content based retrieval; Histograms; Image databases; Image retrieval; Indexing; Information retrieval; Intelligent systems; MPEG 7 Standard; Signal processing;
Conference_Titel :
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0707-9
DOI :
10.1109/CIISP.2007.369208