image retrieval with sliding correlation in compressed domain

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/icmia-17.2017.32
ID  - Zhao2017/06
ER  -