IEICE TRANSACTIONS on Information
Image Retrieval with Scale Invariant Visual Phrases
Summary :
We propose a retrieval method using scale invariant visual phrases (SIVPs). Our method encodes spatial information into the SIVPs which capture translation, rotation and scale invariance, and employs the SIVPs to determine the spatial correspondences between query image and database image. To compute the spatial correspondences efficiently, the SIVPs are introduced into the inverted index, and SIVP verification is investigated to refine the candidate images returned from inverted index. Experimental results demonstrate that our method improves the retrieval accuracy while increasing the retrieval efficiency.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.5 pp.1063-1067
- Publication Date
- 2013/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.1063
- Type of Manuscript
- Special Section LETTER (Special Section on Data Engineering and Information Management)
- Category
- Multimedia DB
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Deying FENG, Jie YANG, Cheng YANG, Congxin LIU, "Image Retrieval with Scale Invariant Visual Phrases" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 5, pp. 1063-1067, May 2013, doi: 10.1587/transinf.E96.D.1063.
Abstract: We propose a retrieval method using scale invariant visual phrases (SIVPs). Our method encodes spatial information into the SIVPs which capture translation, rotation and scale invariance, and employs the SIVPs to determine the spatial correspondences between query image and database image. To compute the spatial correspondences efficiently, the SIVPs are introduced into the inverted index, and SIVP verification is investigated to refine the candidate images returned from inverted index. Experimental results demonstrate that our method improves the retrieval accuracy while increasing the retrieval efficiency.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.1063/_p
Copy
@ARTICLE{e96-d_5_1063,
author={Deying FENG, Jie YANG, Cheng YANG, Congxin LIU, },
journal={IEICE TRANSACTIONS on Information},
title={Image Retrieval with Scale Invariant Visual Phrases},
year={2013},
volume={E96-D},
number={5},
pages={1063-1067},
abstract={We propose a retrieval method using scale invariant visual phrases (SIVPs). Our method encodes spatial information into the SIVPs which capture translation, rotation and scale invariance, and employs the SIVPs to determine the spatial correspondences between query image and database image. To compute the spatial correspondences efficiently, the SIVPs are introduced into the inverted index, and SIVP verification is investigated to refine the candidate images returned from inverted index. Experimental results demonstrate that our method improves the retrieval accuracy while increasing the retrieval efficiency.},
keywords={},
doi={10.1587/transinf.E96.D.1063},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Image Retrieval with Scale Invariant Visual Phrases
T2 - IEICE TRANSACTIONS on Information
SP - 1063
EP - 1067
AU - Deying FENG
AU - Jie YANG
AU - Cheng YANG
AU - Congxin LIU
PY - 2013
DO - 10.1587/transinf.E96.D.1063
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2013
AB - We propose a retrieval method using scale invariant visual phrases (SIVPs). Our method encodes spatial information into the SIVPs which capture translation, rotation and scale invariance, and employs the SIVPs to determine the spatial correspondences between query image and database image. To compute the spatial correspondences efficiently, the SIVPs are introduced into the inverted index, and SIVP verification is investigated to refine the candidate images returned from inverted index. Experimental results demonstrate that our method improves the retrieval accuracy while increasing the retrieval efficiency.
ER -
English
