Title :
An introduction to content-based image retrieval
Author :
Schaefer, Gerald
Author_Institution :
Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK
Abstract :
Content-based image retrieval (CBIR) extracts features from images to support image search. In this tutorial paper, we will review some of the basic CBIR algorithms that derive colour, texture and shape features, and will then show how image features can be extracted from the compressed domain, in particular from JPEG images, without the need of completely decompressing the images.
Keywords :
content-based retrieval; feature extraction; image colour analysis; image retrieval; image texture; CBIR algorithms; JPEG images; compressed domain; content-based image retrieval; feature extraction; image color feature extraction; image search; image texture feature extraction; shape feature extraction; Feature extraction; Histograms; Image coding; Image color analysis; Image edge detection; Image retrieval; Transform coding;
Conference_Titel :
Digital Information Management (ICDIM), 2013 Eighth International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4799-0613-0
DOI :
10.1109/ICDIM.2013.6694034