Approximately Nearest Neighborhood Image Search Using Unsupervised Hashing via Homogeneous Kernels
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-23
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We propose an approximation search algorithm that uses additive homogeneous kernel mapping to search for an image approximation based on kernelized locality-sensitive hashing.
To address problems related to the unstable search accuracy of an unsupervised image hashing function and degradation of the search-time performance with increases in the number of hashing bits, we propose a method that combines additive explicit homogeneous kernel mapping and image feature histograms to construct a search algorithm based on a locality-sensitive hashing function.
Moreover, to address the problem of semantic gaps caused by using image data that lack type information in semantic modeling, we describe an approximation searching algorithm based on the homogeneous kernel mapping of similarities between pairs of images and dissimilar constraint relationships.
Our image search experiments confirmed that the proposed algorithm can construct a locality-sensitive hash function more accurately, thereby effectively improving the similarity search performance.
American Psychological Association (APA)
Li, Jun-yi& Li, Jianhua. 2018. Approximately Nearest Neighborhood Image Search Using Unsupervised Hashing via Homogeneous Kernels. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1136876
Modern Language Association (MLA)
Li, Jun-yi& Li, Jianhua. Approximately Nearest Neighborhood Image Search Using Unsupervised Hashing via Homogeneous Kernels. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1136876
American Medical Association (AMA)
Li, Jun-yi& Li, Jianhua. Approximately Nearest Neighborhood Image Search Using Unsupervised Hashing via Homogeneous Kernels. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1136876
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136876