Distributed image retrieval with color and keypoint features

Big data term refers to different variations of large datasets to complex to be processed by traditional computing methods. The paper presents a system for retrieving images in relational databases in a distributed environment. Content of the query image and images in the database is compared using global color information and local image keypoints. Image keypoints are indexed by fuzzy sets directly in a relational database. To distribute the process to several machines we use the Apache Hadoop software framework with HDFS.