TY - GEN
T1 - A real-time video processing implementation with massively parallel computation support
AU - Shin, Woosuk
AU - Kim, Mingyu
AU - Park, Sukjun
AU - Baek, Nakhoon
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Recently, performance of mobile device's processor has advanced dramatically. There are many researches to utilize the processor computing ability to maximize application performance. In the field of augmented reality (AR), video stream processing is an application that requires large amount of computing powers, from the real-time processing point of view. However, due to nature of mobile platforms, unnecessary overheads should be minimized to acquire higher performance. In this paper, we introduce OpenCL based video frame segmentation to minimize unnecessary overhead in video processing applications, with dynamically changing the local work group size. Our prototype system show at most 2.3 times speed-up compared to well-known, de-facto image processing library OpenCV.
AB - Recently, performance of mobile device's processor has advanced dramatically. There are many researches to utilize the processor computing ability to maximize application performance. In the field of augmented reality (AR), video stream processing is an application that requires large amount of computing powers, from the real-time processing point of view. However, due to nature of mobile platforms, unnecessary overheads should be minimized to acquire higher performance. In this paper, we introduce OpenCL based video frame segmentation to minimize unnecessary overhead in video processing applications, with dynamically changing the local work group size. Our prototype system show at most 2.3 times speed-up compared to well-known, de-facto image processing library OpenCV.
KW - Massively parallel processing
KW - Mobile computing
KW - Real-time video processing
UR - http://www.scopus.com/inward/record.url?scp=85083523994&partnerID=8YFLogxK
U2 - 10.1109/ICEIC49074.2020.9051222
DO - 10.1109/ICEIC49074.2020.9051222
M3 - Conference contribution
AN - SCOPUS:85083523994
T3 - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
BT - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
Y2 - 19 January 2020 through 22 January 2020
ER -