Retrieval Architecture with Classified Query for Content Based Image Recognition
The consumer behavior has been observed to be largely influenced by image data with increasing familiarity of smart phones and World Wide Web. Traditional technique of browsing through product varieties in the Internet with text keywords has been gradually replaced by the easy accessible image data....
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2016/1861247 |
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| _version_ | 1832546134583672832 |
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| author | Rik Das Sudeep Thepade Subhajit Bhattacharya Saurav Ghosh |
| author_facet | Rik Das Sudeep Thepade Subhajit Bhattacharya Saurav Ghosh |
| author_sort | Rik Das |
| collection | DOAJ |
| description | The consumer behavior has been observed to be largely influenced by image data with increasing familiarity of smart phones and World Wide Web. Traditional technique of browsing through product varieties in the Internet with text keywords has been gradually replaced by the easy accessible image data. The importance of image data has portrayed a steady growth in application orientation for business domain with the advent of different image capturing devices and social media. The paper has described a methodology of feature extraction by image binarization technique for enhancing identification and retrieval of information using content based image recognition. The proposed algorithm was tested on two public datasets, namely, Wang dataset and Oliva and Torralba (OT-Scene) dataset with 3688 images on the whole. It has outclassed the state-of-the-art techniques in performance measure and has shown statistical significance. |
| format | Article |
| id | doaj-art-5a9d792da57c41718d84fe8092e9b7e8 |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-5a9d792da57c41718d84fe8092e9b7e82025-02-03T07:23:49ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322016-01-01201610.1155/2016/18612471861247Retrieval Architecture with Classified Query for Content Based Image RecognitionRik Das0Sudeep Thepade1Subhajit Bhattacharya2Saurav Ghosh3Department of Information Technology, Xavier Institute of Social Service, Ranchi, Jharkhand 834001, IndiaDepartment of Information Technology, Pimpri Chinchwad College of Engineering, Pune 411057, IndiaDepartment of Marketing Management, Xavier Institute of Social Service, Ranchi, Jharkhand 834001, IndiaA.K. Choudhury School of Information Technology, University of Calcutta, Kolkata 700098, IndiaThe consumer behavior has been observed to be largely influenced by image data with increasing familiarity of smart phones and World Wide Web. Traditional technique of browsing through product varieties in the Internet with text keywords has been gradually replaced by the easy accessible image data. The importance of image data has portrayed a steady growth in application orientation for business domain with the advent of different image capturing devices and social media. The paper has described a methodology of feature extraction by image binarization technique for enhancing identification and retrieval of information using content based image recognition. The proposed algorithm was tested on two public datasets, namely, Wang dataset and Oliva and Torralba (OT-Scene) dataset with 3688 images on the whole. It has outclassed the state-of-the-art techniques in performance measure and has shown statistical significance.http://dx.doi.org/10.1155/2016/1861247 |
| spellingShingle | Rik Das Sudeep Thepade Subhajit Bhattacharya Saurav Ghosh Retrieval Architecture with Classified Query for Content Based Image Recognition Applied Computational Intelligence and Soft Computing |
| title | Retrieval Architecture with Classified Query for Content Based Image Recognition |
| title_full | Retrieval Architecture with Classified Query for Content Based Image Recognition |
| title_fullStr | Retrieval Architecture with Classified Query for Content Based Image Recognition |
| title_full_unstemmed | Retrieval Architecture with Classified Query for Content Based Image Recognition |
| title_short | Retrieval Architecture with Classified Query for Content Based Image Recognition |
| title_sort | retrieval architecture with classified query for content based image recognition |
| url | http://dx.doi.org/10.1155/2016/1861247 |
| work_keys_str_mv | AT rikdas retrievalarchitecturewithclassifiedqueryforcontentbasedimagerecognition AT sudeepthepade retrievalarchitecturewithclassifiedqueryforcontentbasedimagerecognition AT subhajitbhattacharya retrievalarchitecturewithclassifiedqueryforcontentbasedimagerecognition AT sauravghosh retrievalarchitecturewithclassifiedqueryforcontentbasedimagerecognition |