کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6883741 695311 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient fast-response content-based image retrieval framework for big data
ترجمه فارسی عنوان
چارچوب بازیابی تصویر مبتنی بر محتوا با سرعت سریع پاسخ داده شده برای داده های بزرگ
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
In this paper, an efficient fast-response content-based image retrieval (CBIR) framework based on Hadoop MapReduce is proposed to operate stably with high performance targeting big data. It provides a novel bag of visual words (BOVW) technique based on a proposed chain-clustering binary search-tree (CC-BST) algorithm to build the visual statements for representing the image. As well, it introduces a proposed methodology for creating representatives for these visual statements as a solution for big-data' high-dimensionality. Further, those representatives are utilized to provide an indexing scheme for building one large file as an input for Hadoop. Moreover, an efficient-MapReduce technique is presented to exploit the created visual-representatives of the images to retrieve the top-relevant images for the input query. Empirical tests for the proposed techniques outperform the state-of-art compared techniques.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 54, August 2016, Pages 522-538
نویسندگان
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