Content based image retrieval using colour strings comparison
Content Based Image Retrieval (CBIR) is a technique that enables a user to extract an image based on a query, from a database containing a large amount of images. A very fundamental issue in designing a content based image retrieval system is to select the image features that best represent the imag...
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my.utm.592032021-08-04T05:47:12Z http://eprints.utm.my/id/eprint/59203/ Content based image retrieval using colour strings comparison Jenni, Kommineni Mandala, Satria Sunar, Mohd. Shahrizal QA75 Electronic computers. Computer science Content Based Image Retrieval (CBIR) is a technique that enables a user to extract an image based on a query, from a database containing a large amount of images. A very fundamental issue in designing a content based image retrieval system is to select the image features that best represent the image contents in a database. In this paper, our proposed method mainly concentrated on database classification and efficient image representation. We present a method for content based image retrieval based on support vector machine classifier. In this method the feature extraction was done based on the colour string coding and string comparison. We succeed in transferring the images retrieval problem to strings comparison. Thus the computational complexity is decreases obviously. The image database used in our experiment contains 1800 colour images from Corel photo galleries. This CBIR approach has significantly increased the accuracy in obtaining results for image retrieval. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/59203/1/KommineniJenni2015_ContentBasedImageRetrieval.pdf Jenni, Kommineni and Mandala, Satria and Sunar, Mohd. Shahrizal (2015) Content based image retrieval using colour strings comparison. In: 2nd International Symposium on Big Data and Cloud Computing Challenges, ISBCC 2015, 12-13 Mar 2015, Chennai, India. http://dx.doi.org/10.1016/j.procs.2015.04.032 |
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QA75 Electronic computers. Computer science Jenni, Kommineni Mandala, Satria Sunar, Mohd. Shahrizal Content based image retrieval using colour strings comparison |
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Content Based Image Retrieval (CBIR) is a technique that enables a user to extract an image based on a query, from a database containing a large amount of images. A very fundamental issue in designing a content based image retrieval system is to select the image features that best represent the image contents in a database. In this paper, our proposed method mainly concentrated on database classification and efficient image representation. We present a method for content based image retrieval based on support vector machine classifier. In this method the feature extraction was done based on the colour string coding and string comparison. We succeed in transferring the images retrieval problem to strings comparison. Thus the computational complexity is decreases obviously. The image database used in our experiment contains 1800 colour images from Corel photo galleries. This CBIR approach has significantly increased the accuracy in obtaining results for image retrieval. |
format |
Conference or Workshop Item |
author |
Jenni, Kommineni Mandala, Satria Sunar, Mohd. Shahrizal |
author_facet |
Jenni, Kommineni Mandala, Satria Sunar, Mohd. Shahrizal |
author_sort |
Jenni, Kommineni |
title |
Content based image retrieval using colour strings comparison |
title_short |
Content based image retrieval using colour strings comparison |
title_full |
Content based image retrieval using colour strings comparison |
title_fullStr |
Content based image retrieval using colour strings comparison |
title_full_unstemmed |
Content based image retrieval using colour strings comparison |
title_sort |
content based image retrieval using colour strings comparison |
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2015 |
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http://eprints.utm.my/id/eprint/59203/1/KommineniJenni2015_ContentBasedImageRetrieval.pdf http://eprints.utm.my/id/eprint/59203/ http://dx.doi.org/10.1016/j.procs.2015.04.032 |
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1707765852314533888 |
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13.19449 |