Title :
Image retrieval for compressed and uncompressed images
Author :
Khapli, Vidya R. ; Bhalchandra, Anjali S.
Author_Institution :
K.K. Wagh Women´´s Polytech., Nashik, India
Abstract :
To reduce the storage and transmission requirements in image applications, images are compressed while maintaining acceptable visual quality. In this paper, image retrieval using Vector Quantization (VQ) is explored. The VQ technique is tested on uncompressed images (UCID) as well as compressed images (JPG). In order to reduce the retrieval time, the images are converted into thumbnails and the retrieval performance in both the domains is observed. The testing is performed with various thumbnail sizes. Performance is evaluated by using Precision and Recall. It is observed that the retrieval performance using VQ for compressed images remains comparable with that with uncompressed images.
Keywords :
image coding; image retrieval; vector quantisation; JPG; UCID; acceptable visual quality; compressed images; image retrieval; retrieval time reduction; storage transmission requirements; thumbnail sizes; uncompressed images; vector quantization; Discrete Fourier transforms; Discrete wavelet transforms; Image coding; Image retrieval; Image storage; Indexing; Information retrieval; Pixel; Testing; Vector quantization; Vector Quantization; compressed domain image retrieval; compressed domain indexing;
Conference_Titel :
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location :
Macau
Print_ISBN :
978-1-4244-4656-8
Electronic_ISBN :
978-1-4244-4657-5
DOI :
10.1109/ICICS.2009.5397711
