Complexity scalable video encoding for power-aware applications

Burak Solak, F. Labeau
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引用次数: 6

Abstract

Mobile multimedia application design has taken precedence in the field of wireless communications due to the growing demand for mobile devices to perform multimedia functions. To sustain such high complexity and power hungry functions on battery-powered devices, power-aware concepts should be employed in the design of mobile multimedia applications. An effective power-aware design should serve two functions. The first is to lower overall power consumption with minimum impact on performance and the second is to adjust its power consumption rate to extend the battery life of its platform. In this paper, we tackle one of the most up-and-coming multimedia functions, video compression, by introducing a novel complexity-scalable video encoding framework for power-aware applications. The proposed video encoder embodies both functions of power-aware design. The complexity-scalability is maintained efficiently through a single control-parameter; and significant complexity reduction rates are achieved through a novel prediction scheme. The performance of the proposed design is demonstrated and compared with some of the existing complexity reduction and complexity scalability techniques.
复杂可扩展的视频编码的功率感知应用程序
由于移动设备对多媒体功能的需求日益增长,移动多媒体应用设计在无线通信领域占据了优先地位。为了在电池供电的设备上维持如此高的复杂性和耗电功能,在移动多媒体应用程序的设计中应该采用功耗感知概念。有效的功率感知设计应该具有两个功能。第一种是在对性能影响最小的情况下降低整体功耗,第二种是调整其功耗率以延长其平台的电池寿命。在本文中,我们通过引入一种新的复杂度可扩展的视频编码框架来解决最具发展前景的多媒体功能之一——视频压缩。所提出的视频编码器兼顾了功耗感知设计的两个功能。通过单一控制参数,有效地保持了系统的复杂性和可扩展性;通过一种新颖的预测方案,实现了显著的复杂性降低。该设计的性能得到了验证,并与现有的一些复杂性降低和复杂性可扩展性技术进行了比较。
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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