Yoon-Ki Kim and Chang-Sung Jeong, Korea University, South Korea

Recently, real-time image data generated is increasing not only in resolution but also in amount. This large-scale image originates from a large number of camera channels. There is a way to use GPU for high-speed processing of images, but it cannot be done efficiently by using single GPU for large-scale image processing. In this paper, we provide a new method for constructing a distributed environment using open source called Apache Kafka for real-time processing of large-scale images. This method provides an opportunity to gather related data into single node for high-speed processing using GPGPU or Xeon-Phi processing.

Real Time Image Processing, Distributed Processing, Real-Time Processing, Apache Kafka