Distributed Content Based Image Search Engine using Hadoop Framework

被引：0

作者：

Uttarwar, Dhananjay ^{[1
]}

Agarwal, Aakash ^{[1
]}

Kadiwar, Riyaz ^{[1
]}

Katkar, Vijay D. ^{[1
]}

机构：

[1] Pimpri Chinchwad Coll Engn, Dept Informat Technol, Pune, Maharashtra, India

来源：

2017 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP) | 2017年

关键词：

Block Truncation Coding; Content-based Image Retrieval; Fuzzy Edge Detection; Hadoop; Image Search Engine; Local Binary Pattern; MapReduce;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With decrease in cost of multimedia capturing and storage devices; amount of multimedia data present on WWW has increased exponentially. Content Based Visual data Retrieval is an ongoing research area for efficient data handling on Internet-scale. This paper presents a Hadoop based image search engine framework for extracting similar images from huge volume of available images. Performance of presented approach is evaluated using various image visual feature extraction methods like Block Truncation Coding, Fuzzy Edge Detection and Local Binary Patterns.

引用

页码：1706 / 1710

页数：5