Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

image retrieval with sliding correlation in compressed domain

Authors
Xiaorong Zhao, Dan Liu, Jianfeng Wang, Nana Xie
Corresponding Author
Xiaorong Zhao
Available Online June 2017.
DOI
https://doi.org/10.2991/icmia-17.2017.32How to use a DOI?
Keywords
Content-based image retrieval, sliding Correlation, DCT
Abstract
In this paper, we propose a image retrieval algorithm in JPEG compressed domain. We show that, with the same content based image retrieval algorithm, adding rotational correlation to the existing operational process can improve the performance of content based image retrieval significantly, In comparison with the latest research efforts in image retrieval, the experimental results show the superiority of the proposed method in terms of precision and processing speed.
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Proceedings
2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-17.2017.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaorong Zhao
AU  - Dan Liu
AU  - Jianfeng Wang
AU  - Nana Xie
PY  - 2017/06
DA  - 2017/06
TI  - image retrieval with sliding correlation in compressed domain
BT  - 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 184
EP  - 187
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.32
DO  - https://doi.org/10.2991/icmia-17.2017.32
ID  - Zhao2017/06
ER  -