信阳师范大学学报（自然科学版）2025，Vol.38Issue(2)：159-166,8.DOI:10.3969/j.issn.2097-583X.2025.02.006
面向目标检测和人眼视觉的视频编码优化
Optimization of video coding for object detection and perceptual quality
摘要
Abstract
In order to reduce the impact of video coding distortion on object detection,an optimization method of ideo coding for object detection and perceptual quality was proposed.Firstly,the quantization parameter of I frame was refined to improve the video coding performance in terms of rate-compression-distortion.Secondly,the object detection algorithm was introduced into video codec to predict the object area of current coding frame.Thirdly,a commonly used deep neural network was utilized to extract the feature of current coding unit,which was used to calculate feature distortion.Then,a modified VGG model was proposed to predict the quantization parameter of current coding unit.Finally,the feature distortion and compression distortion were considered as joint distortion in rate-distortion optimization problem,in which the optimal coding parameters were decided.Experimental results showed that,compared with VTM-23.0,the proposed method could achieve about 10.5%BD-rate savings on object detection accuracy and about 2.2%BD-rate savings on compression distortion,respectively.关键词
视频编码/目标检测/率失真优化/人眼视觉质量/量化Key words
video coding/object detection/rate distortion optimization/perceptual quality/quantization分类
计算机与自动化引用本文复制引用
刘宇洋,毛敏,张昆,徐煜,孙悦..面向目标检测和人眼视觉的视频编码优化[J].信阳师范大学学报（自然科学版）,2025,38(2):159-166,8.基金项目
河南省科技攻关项目(242102221046) （242102221046）
河南省高等学校重点科研项目(22A510009) （22A510009）
信阳师范大学青年科研基金(2023-QN-053) （2023-QN-053）
