Title :
Detecting a large number of objects in real-time using apache storm
Author :
Dong-Hyuck Im ; Cheol-Hye Cho ; IlGu Jung
Author_Institution :
Broadcasting & Telecommun. Media Res. Lab., ETRI, Daejeon, South Korea
Abstract :
Object detection is an important function for intelligent multimedia processing, but its computational complexity prevented its pervasive uses in consumer electronics. To process large-scale datasets in real-time, more resources and reliable infrastructures are required for spreading the data and running the applications across multiple machines in parallel. In order to detect a large number of objects in real-time, a task-parallel processing framework based on Storm is proposed.
Keywords :
multimedia systems; object detection; parallel processing; Apache Storm; consumer electronics; intelligent multimedia processing; object detection; task-parallel processing; Big data; Face; Fasteners; Multimedia communication; Object detection; Real-time systems; Storms; Storm; distributed computing; object detection; parallel computing;
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2014 International Conference on
Conference_Location :
Busan
DOI :
10.1109/ICTC.2014.6983306
