Title :
Pixel domain and compressed domain image retrieval features
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; data compression; feature extraction; image coding; image colour analysis; image retrieval; image texture; CBIR algorithms; JPEG images; compressed domain image retrieval features; content based image retrieval; image colour; image decompressing; image search; image shape feature extraction; image texture; pixel domain; 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.2013.6694033