HEVC rate control for unmanned aerial vehicle airborne reconnaissance

ZHAO Chun-lei; DAI Ming; YIN Chuan-li

doi:10.3788/OPE.20152312.3500

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HEVC rate control for unmanned aerial vehicle airborne reconnaissance

Information Sciences | 更新时间：2020-08-13

- HEVC rate control for unmanned aerial vehicle airborne reconnaissance
- Optics and Precision Engineering Vol. 23, Issue 12, Pages: 3500-3508(2015)
- 作者机构：
  
  1. 中国科学院大学北京,中国,100049
  2. 中国科学院长春光学精密机械与物理研究所长春长光众和科技有限公司,吉林长春,130033
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152312.3500
  CLC： TN941.1
- Revised：15 October 2015，
  
  Published：25 December 2015
- 稿件说明：
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赵春蕾, 戴明, 尹传历. 无人机机载侦察视频的高效视频码率控制[J]. 光学精密工程, 2015,23(12): 3500-3508

ZHAO Chun-lei, DAI Ming, YIN Chuan-li. HEVC rate control for unmanned aerial vehicle airborne reconnaissance[J]. Editorial Office of Optics and Precision Engineering, 2015,23(12): 3500-3508
赵春蕾, 戴明, 尹传历. 无人机机载侦察视频的高效视频码率控制[J]. 光学精密工程, 2015,23(12): 3500-3508 DOI： 10.3788/OPE.20152312.3500.

ZHAO Chun-lei, DAI Ming, YIN Chuan-li. HEVC rate control for unmanned aerial vehicle airborne reconnaissance[J]. Editorial Office of Optics and Precision Engineering, 2015,23(12): 3500-3508 DOI： 10.3788/OPE.20152312.3500.

摘要

提出了一种基于缓冲区状态及梯度算子的低延时高效视频码(HEVC)率控制方法

以解决现有的码率控制算法在无人机机载侦察系统中因比特分配不当引起的视频质量较差的问题。首先

利用剩余比特及缓冲区状态预分配帧层目标比特;然后

以视频中每帧各最大编码单元(LCU)的时空复杂度作为权重

预分配各LCU的目标比特;最后

通过

R-λ

模型获得目标比特下的编码参数

实现视频压缩编码

并完成模型参数更新。实验结果表明:在8 Mbps的带宽下

提出的算法使码率控制误差缩小到HM16.0的2/5

视频中图像质量波动范围降低到HM16.0的1/4以内。提出的方法有效抑制了帧间比特消耗波动

使得缓冲区占用量能在小范围内平稳波动

图像主观质量也得到了改善

更好地满足了机载侦察系统低延时的应用需求。

Abstract

A High Efficiency Video Coding (HEVC) rate control algorithm with a low-delay was proposed based on buffer status and a gradient operator to improve the poor video quality of the current HEVC rate control scheme caused by the improper bit allocation in Unmanned Aerial Vehicle (UAV) airborne reconnaissance. First

both the buffer state and the remained bits were used to pre-allocate the frame layer target bits. Then

the time and space complexity of the Largest Coding Unit (LCU) in each frame was taken as the weight

layer bits hierarchically with the reconnaissance video features was evaluated by a gradient value. Finally

Quantization Parameter (

) was derived from

R-λ

model

the encoder in the LCU and the model parameter updating were implemented. Experimental results show that the proposed algorithm reduces mismatch ratio to 2/5 that of the rate control scheme in HM16.0

and PSNR (Peak Signal-to-noise Ratio) fluctuation has been within 1/4 under the 8 Mbps bandwidth. Moreover

the proposed algorithm provides an improvement in subjective quality evaluation and has less bit fluctuation and lower

steadier buffer occupancy

which enables a lower delay of aerial photography applications.

关键词

Keywords

references

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