Image Retrieval Based on Using Hamming Distance

Sana Fakhfakh; Mohamed Tmar; Walid Mahdi

doi:10.1016/j.procs.2015.12.040

Image Retrieval Based on Using Hamming Distance

Sana Fakhfakh, Mohamed Tmar, Walid Mahdi

University of Sfax

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

The expeditious development of images volume on applications recent creates the need for emergence of new indexing and retrieval tools that facilitate access to relevant need. In this paper, we tried to create a visual vocabulary from phase extraction of descriptors such as color, texture, interest points. The method is to assign a signature to each image in collection. The extraction of signature is based on application of Haar wavelet multiscale, Harris interest points and analyzing color histogram. This signature will undergo a size reduction step by using the PCA (Principal Component Analysis). The signature of each image passes through a stage of binarization. This binary code obtained need using Hamming distance in the similarity matching. Experiments are undertaken into four data sets "Caltech101", "Caltech256", "ImageCLEF 2013" and "ImageCLEF 2014". The obtained results showed effectiveness of our approach.

Original language	English
Pages (from-to)	320-327
Number of pages	8
Journal	Procedia Computer Science
Volume	73
DOIs	https://doi.org/10.1016/j.procs.2015.12.040
State	Published - 2015
Externally published	Yes
Event	International Conference on Advanced Wireless Information and Communication Technologies, AWICT 2015 - Sousse, Tunisia Duration: 5 Oct 2015 → 7 Oct 2015

Keywords

binary signature
Content
hamming distance
image retrieval
visual descriptor

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10.1016/j.procs.2015.12.040

Cite this

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title = "Image Retrieval Based on Using Hamming Distance",

abstract = "The expeditious development of images volume on applications recent creates the need for emergence of new indexing and retrieval tools that facilitate access to relevant need. In this paper, we tried to create a visual vocabulary from phase extraction of descriptors such as color, texture, interest points. The method is to assign a signature to each image in collection. The extraction of signature is based on application of Haar wavelet multiscale, Harris interest points and analyzing color histogram. This signature will undergo a size reduction step by using the PCA (Principal Component Analysis). The signature of each image passes through a stage of binarization. This binary code obtained need using Hamming distance in the similarity matching. Experiments are undertaken into four data sets {"}Caltech101{"}, {"}Caltech256{"}, {"}ImageCLEF 2013{"} and {"}ImageCLEF 2014{"}. The obtained results showed effectiveness of our approach.",

keywords = "binary signature, Content, hamming distance, image retrieval, visual descriptor",

author = "Sana Fakhfakh and Mohamed Tmar and Walid Mahdi",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors.; International Conference on Advanced Wireless Information and Communication Technologies, AWICT 2015 ; Conference date: 05-10-2015 Through 07-10-2015",

year = "2015",

doi = "10.1016/j.procs.2015.12.040",

language = "English",

volume = "73",

pages = "320--327",

journal = "Procedia Computer Science",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Image Retrieval Based on Using Hamming Distance

AU - Fakhfakh, Sana

AU - Tmar, Mohamed

AU - Mahdi, Walid

PY - 2015

Y1 - 2015

N2 - The expeditious development of images volume on applications recent creates the need for emergence of new indexing and retrieval tools that facilitate access to relevant need. In this paper, we tried to create a visual vocabulary from phase extraction of descriptors such as color, texture, interest points. The method is to assign a signature to each image in collection. The extraction of signature is based on application of Haar wavelet multiscale, Harris interest points and analyzing color histogram. This signature will undergo a size reduction step by using the PCA (Principal Component Analysis). The signature of each image passes through a stage of binarization. This binary code obtained need using Hamming distance in the similarity matching. Experiments are undertaken into four data sets "Caltech101", "Caltech256", "ImageCLEF 2013" and "ImageCLEF 2014". The obtained results showed effectiveness of our approach.

AB - The expeditious development of images volume on applications recent creates the need for emergence of new indexing and retrieval tools that facilitate access to relevant need. In this paper, we tried to create a visual vocabulary from phase extraction of descriptors such as color, texture, interest points. The method is to assign a signature to each image in collection. The extraction of signature is based on application of Haar wavelet multiscale, Harris interest points and analyzing color histogram. This signature will undergo a size reduction step by using the PCA (Principal Component Analysis). The signature of each image passes through a stage of binarization. This binary code obtained need using Hamming distance in the similarity matching. Experiments are undertaken into four data sets "Caltech101", "Caltech256", "ImageCLEF 2013" and "ImageCLEF 2014". The obtained results showed effectiveness of our approach.

KW - binary signature

KW - Content

KW - hamming distance

KW - image retrieval

KW - visual descriptor

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U2 - 10.1016/j.procs.2015.12.040

DO - 10.1016/j.procs.2015.12.040

M3 - Conference article

AN - SCOPUS:84962740810

VL - 73

SP - 320

EP - 327

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - International Conference on Advanced Wireless Information and Communication Technologies, AWICT 2015

Y2 - 5 October 2015 through 7 October 2015

ER -

Image Retrieval Based on Using Hamming Distance

Abstract

Keywords

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