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학술지 Low Complexity Based Ultra-high Quality Video Compression Method for Multimedia-centric Internet of Things (IoT) Services
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저자
전동산, 김휘용
발행일
201802
출처
Multimedia Tools and Applications, v.77 no.4, pp.4661-4675
ISSN
1380-7501
출판사
Springer
DOI
https://dx.doi.org/10.1007/s11042-017-4850-3
협약과제
17HR1400, 초고실감 미디어 서비스 실현을 위해 HEVC/3DA 대비 2배 압축을 제공하는 5세대 비디오/오디오 표준 핵심 기술 개발 및 표준화, 김휘용
초록
Internet of things (IoT) enables a number of embedded systems to interact for the purpose of various IoT applications such as home security, medical, smart surveillance, and etc. It is expected that the need of multimedia computing for ultra-high quality video delivery has further increased the importance of fast and complexity-awareness video compression algorithm under low-complexity and low-power IoT systems. High efficiency video coding (HEVC) is the state-of-the-art video coding technology that can provide powerful video compression performance under limited bandwidth conditions for transmission or storage. Although HEVC adopted newly advanced video coding tools to achieve a bitrate reduction of 50% with similar video quality compared to the previous method, H.264/AVC, these cause heavy computational encoding complexity resulting from inter prediction process of HEVC encoder. In this paper, we propose a complexity scalable SKIP/MERGE encoding algorithm to design a low complexity inter prediction. Experimental results show that the proposed method is much faster than those of HEVC test model (47.42%) and previous method (13.95%) in terms of total encoding time, on average.
키워드
Complexity reduction, Fast encoding, HEVC, Internet of things, Real-time multimedia computing
KSP 제안 키워드
Advanced video coding(AVC), Coding Tools, Compression Algorithm, Compression method, Compression performance, Embedded system, Encoding algorithm, Encoding complexity, Encoding time, Fast encoding, HEVC Test Model(HM)