Mobile image search using multi-query images
Küçük Resim Yok
Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Recent advances in mobile device technology have turned the mobile phones into powerfull devices with high resolution cameras and fast processing capabilities. Having more user interaction potential compared to regular PCs, mobile devices with cameras can enable richer content-based object image queries: the user can capture multiple images of the query object from different viewing angles and at different scales, thereby providing much more information about the object to improve the retrieval accuracy. The goal of this paper is to improve the mobile image retrieval performance using multiple query images. To this end, we use the well-known bag-of-visual-words approach to represent the images, and employ early and late fusion strategies to utilize the information in multiple query images. With extensive experiments on an object image dataset with a single object per image, we show that multi-image queries result in higher average precision performance than single image queries. © 2021 Elsevier B.V., All rights reserved.
Açıklama
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- -- Malatya; Inonu Universitesi -- 113052
Anahtar Kelimeler
Bag of visual words, Combining queries, Content-based image search, Mobile visual search, Multi-query
Kaynak
WoS Q Değeri
Scopus Q Değeri
N/A
