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Reseach Article

Content based Image Retrieval in the Compressed Domain

by Suhendro Y. Irianto
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 13
Year of Publication: 2014
Authors: Suhendro Y. Irianto

Suhendro Y. Irianto . Content based Image Retrieval in the Compressed Domain. International Journal of Computer Applications. 99, 13 ( August 2014), 18-23. DOI=10.5120/17434-8221

@article{ 10.5120/17434-8221,
author = { Suhendro Y. Irianto },
title = { Content based Image Retrieval in the Compressed Domain },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 13 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { },
doi = { 10.5120/17434-8221 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:28:07.112636+05:30
%A Suhendro Y. Irianto
%T Content based Image Retrieval in the Compressed Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 13
%P 18-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Given an image with N blocks of 8x8 pixels, we construct an indexing key by overlapping the N blocks into one combinational block and each block acting as one single plane inside the combinational block. Specific construction of each element inside the indexing key can have a range of alternatives based on such a common platform. These include: (i) average DCT value (ii) energy distributed in DCT domain to construct the indexing key, and (iii) DCT coefficients that can be polarized via exploiting their directional properties, and thus can be processed to construct an energy magnitude to highlight the texture of the input image. In this way, the dimension of the indexing key can be significantly reduced. In this paper we represent DCT descriptors as tools of generating indexing key in compress domain.

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Index Terms

Computer Science
Information Sciences


Compressed domain DCT domain CBIR