DocumentCode :
3497688
Title :
Image classification using data compression techniques
Author :
Quispe-Ayala, Martha R. ; Asalde-Alvarez, Krista ; Roman-Gonzalez, Avid
Author_Institution :
Univ. Nac. San Antonio Abad del Cusco-UNSAAC, Peru
fYear :
2010
fDate :
17-20 Nov. 2010
Abstract :
In this paper we propose a parameter free image classification method based on data compression techniques, so to calculate a measure of similarity between images based on the approximation of the compression to Kolmogorov Complexity. For this experiment we use two types of compressors, ZIP the general purpose compressor and JPEG compressor specialized for images. After developing the method and perform the relevant experiments to determine whether the proposed approach is useful or not for image classification.
Keywords :
computational complexity; data compression; image classification; JPEG compressor; Kolmogorov complexity; data compression; image classification; image similarity; Classification algorithms; Complexity theory; Compressors; Image classification; Image coding; Transform coding; Data Compression; Image Classification; JPEG; Kolmogorov Complexity; NCD; ZIP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineers in Israel (IEEEI), 2010 IEEE 26th Convention of
Conference_Location :
Eliat
Print_ISBN :
978-1-4244-8681-6
Type :
conf
DOI :
10.1109/EEEI.2010.5662206
Filename :
5662206
Link To Document :
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