A New Approach for Large-Scale Scene Image Retrieval Based on Improved Parallel k -Means Algorithm in MapReduce Environment
المؤلفون المشاركون
Cao, Jianfang
Wang, Min
Shi, Hao
Hu, Guohua
Tian, Yun
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-10
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
The rapid growth of digital images has caused the traditional image retrieval technology to be faced with new challenge.
In this paper we introduce a new approach for large-scale scene image retrieval to solve the problems of massive image processing using traditional image retrieval methods.
First, we improved traditional k -Means clustering algorithm, which optimized the selection of the initial cluster centers and iteration procedure.
Second, we presented a parallel design and realization method for improved k -Means algorithm applied it to feature clustering of scene images.
Finally, a storage and retrieval scheme for large-scale scene images was put forward using the large storage capacity and powerful parallel computing ability of the Hadoop distributed platform.
The experimental results demonstrated that the proposed method achieved good performance.
Compared with the traditional algorithms with single node architecture and parallel k -Means algorithm, the proposed method has obvious advantages for use in large-scale scene image data retrieval in terms of retrieval accuracy, retrieval time overhead, and computational performance (speedup and efficiency, sizeup, and scaleup), which is a significant improvement from applying parallel processing to intelligent algorithms with large-scale datasets.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cao, Jianfang& Wang, Min& Shi, Hao& Hu, Guohua& Tian, Yun. 2016. A New Approach for Large-Scale Scene Image Retrieval Based on Improved Parallel k -Means Algorithm in MapReduce Environment. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1112049
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cao, Jianfang…[et al.]. A New Approach for Large-Scale Scene Image Retrieval Based on Improved Parallel k -Means Algorithm in MapReduce Environment. Mathematical Problems in Engineering No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1112049
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cao, Jianfang& Wang, Min& Shi, Hao& Hu, Guohua& Tian, Yun. A New Approach for Large-Scale Scene Image Retrieval Based on Improved Parallel k -Means Algorithm in MapReduce Environment. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1112049
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112049
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر