Title :
Fast and Robust Identification Methods for JPEG Images with Various Compression Ratios
Author :
Arnia, Fitri ; Hzuka, I. ; Fujiyoshi, Masaaki ; Kiya, Hitoshi
Author_Institution :
Dept. of Electr. Eng., Tokyo Metropolitan Univ.
Abstract :
We propose two identification methods for JPEG-coded images. The purposes are to identify the images that are compressed from the same original image with various compression ratios in fast and robust manner. The first approach can avoid identification leakage or false negative (FN), and could result in a few false positives (FP). The second approach can avoid both FN and FP, with a slightly longer processing time. By combining the two schemes, a faster and a more perfect identification can be achieved, in which FN and FP can be avoided
Keywords :
data compression; image coding; image recognition; JPEG-coded images; compression ratios; false negative; false positives; identification methods; Authentication; Digital images; Discrete cosine transforms; Image coding; Image databases; Image recognition; Image retrieval; Robustness; Spatial databases; Transform coding;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660363