Title :
Image retrieval based on texture and color method in BTC-VQ compressed domain
Author :
Gahroudi, Mahdi Rezaei ; Sarshar, Mohammad Reza
Author_Institution :
Islamic Azad Univ., Qazvin
Abstract :
Because of high volume of graphic information, the retrieval of compressed images is one of the needs of information era. One of the rapid methods for image compression which has the capability to maintain important information of images for retrieval is Block Truncation Coding (BTC). In this article a new method for retrieval of images compressed by BTC has been provided. This method has been examined on a database consisting of 9983 images with different contents and its results have been compared with similar methods.
Keywords :
block codes; image coding; image colour analysis; image retrieval; image texture; BTC-VQ compressed domain; block truncation coding; color method; compressed images; graphic information; image compression; image retrieval; texture method; Digital images; Graphics; Histograms; Image coding; Image databases; Image retrieval; Image storage; Information retrieval; Transform coding; Vector quantization;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555277
