Low-complexity video coding via power-rate-distortion optimization

NCUIR > Engineering College > Departmant of Mechanical Engineering > journal & Dissertation > Item 987654321/108946

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/108946

Title:	Low-complexity video coding via power-rate-distortion optimization
Authors:	林智揚;Kang, Li-Wei;Lu, Chun-Shien;Lin, Chih-Yang
Contributors:	工學院機械工程學系
Keywords:	Hash;Low-complexity video coding;Low-power and power-aware video coding;Motion estimation;Multiview video coding;Power–rate–distortion optimization;Rate–distortion;Wireless multimedia sensor networks
Date:	2012-04-01
Issue Date:	2026-04-23 15:17:01 (UTC+8)
Publisher:	Academic Press Inc.;Elsevier Inc
Abstract:	摘要： ► Propose a power–rate–distortion (PRD) optimized low-power video encoding scheme. ► Propose a model to describe the relationship between resource and RD performance. ► Provide a guideline for coding performance optimization under limited resources. Wireless multimedia sensor networks (WMSNs) have been potentially applicable for several emerging applications. The resources, i.e., power and bandwidth available to visual sensors in a WMSN are, however, very limited. Hence, it is important but challenging to achieve efficient resource allocation and optimal video data compression while maximizing the overall network lifetime. In this paper, a power–rate–distortion (PRD) optimized resource-scalable low-complexity multiview video encoding scheme is proposed. In our video encoder, both the temporal and interview information can be exploited based on the comparisons of extracted media hashes without performing motion and disparity estimations, which are known to be time-consuming. We present a PRD model to characterize the relationship between the available resources and the RD performance of our encoder. More specifically, an RD function in terms of the percentages for different coding modes of blocks and the target bit rate under the available resource constraints is derived for optimal coding mode decision. The major goal here is to design a PRD model to optimize a “motion estimation-free” low-complexity video encoder for applications with resource-limited devices, instead of designing a general-purpose video codec to compete compression performance against current compression standards (e.g., H.264/AVC). Analytic results verify the accuracy of our PRD model, which can provide a theoretical guideline for performance optimization under limited resource constraints. Simulation results on joint RD performance and power consumption (measured in terms of encoding time) demonstrate the applicability of our video coding scheme for WMSNs. 出版者： Elsevier Inc 出版日期： 2012-04 出處： Journal of visual communication and image representation, 2012-04, Vol.23 (3), p.569-585 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2012 Elsevier Inc. 識別號： ISSN: 1047-3203 識別號： EISSN: 1095-9076 識別號： DOI: 10.1016/j.jvcir.2012.02.001
Appears in Collections:	[Departmant of Mechanical Engineering ] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	11	View/Open

社群 sharing

Loading...