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Instance search with weak geometric correlation consistency

Zhang, Zhenxing, Albatal, Rami orcid logoORCID: 0000-0002-9269-8578, Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2016) Instance search with weak geometric correlation consistency. In: The 22nd International Conference on Multimedia Modelling (MMM'16), 4-6 Jan 2016, Miami, FA..

Abstract
Finding object instances from large image collections is a challenging problem with many practical applications. Recent methods inspired by text retrieval achieved good results; however a re-ranking stage based on spatial verification is still required to boost performance. To improve the effectiveness of such instance retrieval systems while avoiding the computational complexity of a re-ranking stage, we explored the geometric correlations among local features and incorporate these correlations with each individual match to form a transformation consistency in rotation and scale space. This weak geometric correlation consistency can be used to effectively eliminate inconsistent feature matches and can be applied to all candidate images at a low computational cost. Experimental results on three standard evaluation benchmarks show that the proposed approach results in a substantial performance improvement compared with recently proposed methods.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Multimedia systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of MMM 2016 - The 22nd International Conference on Multimedia Modeling. Lecture Notes in Computer Science 9517. Springer.
Publisher:Springer
Copyright Information:© 2016 Springer. The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20943
Deposited On:13 Jan 2016 12:01 by Zhenxing Zhang . Last Modified 15 Dec 2021 16:15
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