火力与指挥控制2025，Vol.50Issue(1)：138-145,8.DOI:10.3969/j.issn.1002-0640.2025.01.019
基于能耗优化的无人战车HEVC解码感知算法
HEVC Decoding Perception Algorithm for Unmanned Combat Vehicles Based on Energy Consumption Optimization
李正雄 1李明月 1王孟 1杨振宇 1刘辉1
作者信息
- 1. 北方信息控制研究院集团有限公司,南京 211153
- 折叠
摘要
Abstract
In order to optimize the energy consumption generated by unmanned combat vehicles in decoding compressed videos,a HEVC(high efficiency video coding)decoding complexity perception algorithm that changes the video stream is proposed to reduce decoding complexity and to limit the impact of encoding efficiency.The ratio of decoding complexity,video quality,and bit rate is determined,and then HEVC bitstreams optimized by decoding complexity rate distortion model through decoding complexity perception algorithm is generated.Compared with the HM16.0 and OpenHEVC decoder implementations,the bitstream generated by this algorithm reduces decoding complexity by 29.19%and 13.24%respectively under the same video quality,with minimal impact on encoding efficiency.Compared to HM16.0 encoding,this algorithm reduces energy consumption by 15%.关键词
无人战车/解码能耗/能耗优化/复杂度-码率-失真模型/HEVCKey words
unmanned combat vehicles/decoding energy consumption/energy consumption optimi-zation/complexity-bit rate-distortion model/HEVC分类
信息技术与安全科学引用本文复制引用
李正雄,李明月,王孟,杨振宇,刘辉..基于能耗优化的无人战车HEVC解码感知算法[J].火力与指挥控制,2025,50(1):138-145,8.
