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Image Retrieval with Scale Invariant Visual Phrases
Deying FENG Jie YANG Cheng YANG Congxin LIU
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/05/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Data Engineering and Information Management)
Category: Multimedia DB
image retrieval, visual phrases, spatial correspondences, inverted index,
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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.