Distinctive interest point selection for efficient near-duplicate image retrieval
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Distinctive subset of the interest points creation for near-duplicate image retrieval is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive subsets performs better than the ordinary subsets. In this paper, we focus on the creation of such subsets for effective near-duplicate retrieval and propose a novel interest point selection method. In this method, the distinctive subset is created with a ranking according to a density map calculated from the interest points. We examined a number of experiments to show the performance of the proposed method and we got a convincing result of 95.46% recall while the precision is still 96.04%. © 2016 Elsevier B.V., All rights reserved.
Açıklama
The Institute of Electrical and Electronics Engineers (IEEE) Computer Society
IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 -- -- Santa Fe; NM -- 121521
IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 -- -- Santa Fe; NM -- 121521
Anahtar Kelimeler
density map generation, interest point selection, near-duplicate image detection, Near-duplicate image retrieval
Kaynak
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
2016-April
