Access Restriction

Author Mohamed, A. ♦ Khellfi, F. ♦ Ying Weng ♦ Jianmin Jiang ♦ Ipson, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image retrieval ♦ Discrete cosine transforms ♦ Histograms ♦ Quantization ♦ Image storage ♦ Image databases ♦ Spatial databases ♦ Feature extraction ♦ Acceleration ♦ Transform coding ♦ Hisogram quantization ♦ Content based image retrieval (CBIR) ♦ DCT transform
Abstract This paper proposes a new simple method of Discrete Cosine Transform (DCT) feature extraction that is used to accelerate the speed and decrease the storage needed in the image retrieving process. Image features are accessed and extracted directly from JPEG compressed domain. This method extracts and constructs a feature vector of histogram quantization from partial DCT coefficient in order to count the number of coefficients that have the same DCT coefficient over all image blocks. The database image and query image is equally divided into a non overlapping 8X8 block pixel, each of which is associated with a feature vector of histogram quantization derived directly from discrete cosine transform DCT. Users can select any query as the main theme of the query image. The retrieved images are those from the database that bear close resemblance with the query image and the similarity is ranked according to the closest similar measures computed by the Euclidean distance. The experimental results are significant and promising and show that our approach can easily identify main objects while to some extent reducing the influence of background in the image and in this way improves the performance of image retrieval.
ISBN 9781424448647
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-09-07
Publisher Place United Kingdom
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 281.93 kB
Page Count 4
Starting Page 237
Ending Page 240

Source: IEEE Xplore Digital Library