Distributed image processing

Distributed Image Processing This thesis is about the distributed processing of image and video files, which have an important place in the field of big data. Hadoop clusters at different scales have been created with OpenStack cloud system to be used for processing image and video files. With using Hadoop MapReduce programming model and OpenIMAJ library, two applications have been developed to perform distributed image and video processing. Required classes for these applications to read and process the video and image files from Hadoop Distributed File System (HDFS) and write the obtained results, which are not provided by Hadoop framework, have been coded. With the developed system, processing and analyzing image and video files is possible in shorter times. Development of this system in compatible with the OpenIMAJ library will make it possible to use many algorithms provided by OpenIMAJ in distributed processing of image and video files.