Large Visual Repository Search with Hash Collision Design Optimization. Xin, X., Nagar, A., Srivastava, G., Li, Z., Fernandes, F., & Katsaggelos, A. K. IEEE MultiMedia, 20(2):62–71, IEEE, apr, 2013. ![Large Visual Repository Search with Hash Collision Design Optimization [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Visual search over large image repositories in real time is one of the key challenges for applications such as mobile visual query-by-capture, augmented reality, and biometrics-based identification. Search accuracy and response speed are two important performance factors. This article focuses on one of the important elements of this technology that enables large-scale visual search: indexing (or hashing). Indexing is the process of organizing a database of searchable elements into an efficiently searchable configuration. The searchable elements in our case are compact features extracted from images. This article explores a new indexing scheme. The authors optimize the design of a hash-code collision and counting scheme to enable fast search of visual features of MPEG CDVS. © 1994-2012 IEEE.
@article{xin2013large,
abstract = {Visual search over large image repositories in real time is one of the key challenges for applications such as mobile visual query-by-capture, augmented reality, and biometrics-based identification. Search accuracy and response speed are two important performance factors. This article focuses on one of the important elements of this technology that enables large-scale visual search: indexing (or hashing). Indexing is the process of organizing a database of searchable elements into an efficiently searchable configuration. The searchable elements in our case are compact features extracted from images. This article explores a new indexing scheme. The authors optimize the design of a hash-code collision and counting scheme to enable fast search of visual features of MPEG CDVS. {\textcopyright} 1994-2012 IEEE.},
author = {Xin, Xin and Nagar, Abhishek and Srivastava, Gaurav and Li, Zhu and Fernandes, Felix and Katsaggelos, Aggelos K.},
doi = {10.1109/MMUL.2013.22},
issn = {1070-986X},
journal = {IEEE MultiMedia},
keywords = {CDVS,MPEG,hash-code collision,indexing,large-scale visual search,mobile search,multimedia,multimedia applications},
month = {apr},
number = {2},
pages = {62--71},
publisher = {IEEE},
title = {{Large Visual Repository Search with Hash Collision Design Optimization}},
url = {http://ieeexplore.ieee.org/document/6530593/},
volume = {20},
year = {2013}
}
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