A Constrained Spatial-Temporal Frame Rate Control Model of Conversational Video for Multipath Transport System

2018 3rd International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2018-04-01 DOI:10.1109/CCOMS.2018.8463279

Hao Li, W. Lei, Wei Zhang, Shaowei Liu, Y. Guan

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引用次数: 1

Abstract

Conversational video service is becoming increasingly popular on the Internet. However, higher video resolution and frame rate are often accompanied by enlarging the bit rate of the video coding output, and further lead to a large bandwidth requirement. In this paper, we propose a constrained spatial-temporal frame rate control model for conversational video service, which combines video coding with the feedback of data transmission in multipath transmission to enhance rate control. The goal of the model is to optimize the constraint relationship among frame rate, resolution and bitrate, and achieve a better QoE of conversational video service. The target bitrate and frame rate are determined on the fly by considering the network condition. Moreover, the model introduces a new concept termed as region rate, which allows different regions (region of interests and non-region of interests) of a frame to have different rates in accordance with their importance. Furthermore, the paper adopts the perceptual video compression method to improve the perceptual quality, which allocates more resources to the ROIs and selects paths with appropriate status to transmit ROIs data. The experimental results show that the proposed method could control the bit rate while ensuring the video quality and realize the joint optimization of frame rate, resolution and bit rate in comparison to existing approaches.

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基于多路径传输系统的会话视频约束时空帧率控制模型

会话视频服务在互联网上越来越受欢迎。然而，更高的视频分辨率和帧率往往伴随着视频编码输出码率的增大，进而导致对带宽的需求很大。本文提出了一种会话视频服务的约束时空帧率控制模型，该模型将视频编码与多径传输中数据传输的反馈相结合，增强了帧率控制。该模型的目标是优化帧率、分辨率和比特率之间的约束关系，实现更好的会话视频服务QoE。目标比特率和帧率是根据网络状况动态确定的。此外，该模型引入了区域速率的新概念，允许框架的不同区域(兴趣区域和非兴趣区域)根据其重要性具有不同的速率。此外，本文采用感知视频压缩方法来提高感知质量，将更多的资源分配给roi，并选择具有适当状态的路径传输roi数据。实验结果表明，与现有方法相比，所提方法能够在保证视频质量的前提下控制码率，实现帧率、分辨率和码率的联合优化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 3rd International Conference on Computer and Communication Systems (ICCCS)

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