The most troublesome problem in deploying streaming media service is the package-lost delay, which results in too much buffer, low-quality image and interrupted play.
在移动网络上开展流媒体业务，最大的问题是无线环境的时变性容易引起丢包时延，导致缓冲过多、图像质量差和播放中断。
The image-based approach may reduce computational delay, eliminate the necessity for image interpretation and eliminate errors due to sensor modeling and camera calibration.
该方法可以减少计算延时，并且对摄像机和机械臂的校准误差和目标模型误差具有较强的鲁棒性。
In order to reduce network load, energy consumption and delay in video sensor network, a layered multi-quality image fusion method based on attention is proposed.
为了降低视频传感器网络中的网络负载，减少能量消耗、降低时延，提出了一种分层的基于注意力模型的多质量图像融合方法。
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