TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Analysis of Implementing Mobile Heterogeneous Computing for Image Sequence Processing |
| 영문제목(English Title) |
Analysis of Implementing Mobile Heterogeneous Computing for Image Sequence Processing |
| 저자(Author) |
Donhee Lee
Kyoungro Yoon
Mayur Rajaram Parate
Kishor M. Bhurchandi
Aram BAEK
Kangwoon LEE
Jae-Gon KIM
Haechul CHOI
|
| 원문수록처(Citation) |
VOL 11 NO. 10 PP. 4948 ~ 4967 (2017. 10) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
On mobile devices, image sequences are widely used for multimedia applications such as computer vision, video enhancement, and augmented reality. However, the real-time processing of mobile devices is still a challenge because of constraints and demands for higher resolution images. Recently, heterogeneous computing methods that utilize both a central processing unit (CPU) and a graphics processing unit (GPU) have been researched to accelerate the image sequence processing. This paper deals with various optimizing techniques such as parallel processing by the CPU and GPU, distributed processing on the CPU, frame buffer object, and double buffering for parallel and/or distributed tasks. Using the optimizing techniques both individually and combined, several heterogeneous computing structures were implemented and their effectiveness were analyzed. The experimental results show that the heterogeneous computing facilitates executions up to 3.5 times faster than CPU-only processing. |
| 키워드(Keyword) |
Itinerary
Spatio-temporal Query
MBR
R-tree
IR-tree
Visual tracking
object tracking
correlation filter
computer vision
target representation
target scale estimation
Image processing
mobile platform
heterogeneous computing
embedded GPU
GPGPU
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