image retrieval with sliding correlation in compressed domain
Xiaorong Zhao, Dan Liu, Jianfeng Wang, Nana Xie
Available Online June 2017.
- https://doi.org/10.2991/icmia-17.2017.32How to use a DOI?
- Content-based image retrieval, sliding Correlation, DCT
- 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.
- 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 -