论文标题
使用关系数据库进行高效视频编码（HEVC）中GOP配置的动态切换，以进行多目标优化
Dynamic Switching of GOP configurations in High Efficiency Video Coding (HEVC) using Relational Databases for Multi-objective Optimization
论文作者
论文摘要
我们当前的技术时代充斥着智能设备，这些设备提供了需要最佳视频通信解决方案的大量计算资源。视频比特率，质量和能源需求的最佳和动态管理需要考虑其相互依存关系。随着新兴网络几代的提供较高的带宽率，还越来越需要与质量最佳的视频传达，但根据计算能力和可用带宽等资源的可用性。同样，为了容纳多个用户，有必要在合理的编码时间维持视频质量的同时最大程度地减少比特率需求。 本文着重于提供基于切换GOP配置的HEVC编解码器的最佳解决方案的有效机制。该方法为多目标优化提供了一个基本系统，并限制了功率，视频质量，比特率。这是通过利用最近引入的框架来实现的，称为动态重新配置的架构，以在HEVC/H.265编解码器中具有六个不同的GOP配置的时间变化图像约束（急剧）来支撑优化模式，以实现最小比特率，最大质量和最小计算时间（在恒定的电力配置）操作模式下的最小计算时间（最小值）。帕累托最佳的共和党配置用于实现这些剧烈模式。
Our current technological era is flooded with smart devices that provide significant computational resources that require optimal video communications solutions. Optimal and dynamic management of video bitrate, quality and energy demands needs to take into account their inter-dependencies. With emerging network generations providing higher bandwidth rates, there is also a growing need to communicate video with the best quality subject to the availability of resources such as computational power and available bandwidth. Similarly, for accommodating multiple users, there is a need to minimize bitrate requirements while sustaining video quality for reasonable encoding times. This thesis focuses on providing an efficient mechanism for deriving optimal solutions for HEVC codec based on switching GOP configurations. The approach provides a basic system for multi-objective optimization with constraints on power, video quality, bitrate. This is accomplished by utilizing a recently introduced framework known as Dynamically Reconfigurable Architectures for Time-varying Image Constraints (DRASTIC) in HEVC/H.265 codec with six different GOP configurations to support optimization modes for minimum bitrate, maximum quality and minimum computational time (minimum energy in constant power configuration) mode of operation. Pareto-Optimal GOP configs are used in implementing these DRASTIC modes.
