Title :
JIRL - A C++ Library for JPEG Compressed Domain Image Retrieval
Author :
Edmundson, David ; Schaefer, Gerald
Author_Institution :
Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK
Abstract :
In this paper we present JIRL, an open source C++ software suite that allows to perform content-based image retrieval in the JPEG compressed domain. We provide implementations of nine retrieval algorithms representing the current state-of-the-art. For each algorithm, methods for compressed domain feature extraction as well as feature comparison are provided in an object-oriented framework. In addition, our software suite includes functionality for benchmarking retrieval algorithms in terms of retrieval performance and retrieval time. An example full image retrieval application is also provided to demonstrate how the library can be used. JIRL is made available to fellow researchers under the LGPL.
Keywords :
C++ language; content-based retrieval; data compression; feature extraction; image coding; image retrieval; public domain software; software libraries; C++ library; JIRL; JPEG compressed domain image retrieval; content-based image retrieval; feature comparison; feature extraction; object-oriented framework; open source C++ software suite; retrieval performance; retrieval time; Feature extraction; Histograms; Image coding; Image retrieval; Libraries; Transform coding; Content-based image retrieval; JPEG; benchmarking; compressed domain retrieval;
Conference_Titel :
Multimedia (ISM), 2012 IEEE International Symposium on
Conference_Location :
Irvine, CA
Print_ISBN :
978-1-4673-4370-1
DOI :
10.1109/ISM.2012.48