Title :
A New Block-edge-pattern and High Efficient Image Retrieval Method in DCT Domain
Author :
Jian, Chen ; Ming, Yang ; Jiang, J.
Author_Institution :
South West Univ. of China, Chong qing
Abstract :
In this paper, a new DCT block-edge-pattern and high efficient method for compressed image retrieval is proposed. This method directly extracts three edge patterns from compressed image to construct 3D and 4D histogram. Then uses them and the run-length histogram as the feature -based indexing keys to retrieve images. The results of our two-stage experiments show that the superior performances of our method than other exiting method in retrieval precision, processing speed and robust to noise and color change.
Keywords :
content-based retrieval; discrete cosine transforms; edge detection; feature extraction; image coding; image retrieval; statistical analysis; visual databases; 3D/4D histogram; block-edge-pattern extraction; content-based image retrieval method; discrete cosine transforms; feature -based indexing keys; image compresion; image database; Computer science; Discrete cosine transforms; Educational institutions; Feature extraction; Histograms; Image coding; Image edge detection; Image retrieval; Indexing; Pattern analysis;
Conference_Titel :
Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
Conference_Location :
Kokura
Print_ISBN :
978-1-4244-1473-4
DOI :
10.1109/ICCCAS.2007.4348165
