Abstract
In the ecological chain of mobile video communication, most of the existing video coding schemes are focusing on the compression performance while sacrificing the computational complexity. For mobile-to-mobile video communication, both the transmitter and receiver devices may have limited computing resources. Consequently, the unbalance between the power consumption and compression efficiency is critical for the video communication ecosystem. Based on the advantages of the cloud computing, this study proposes a low complexity end-to-end video communication system based on the cloud transcoding. A distributed video coding (DVC) to high efficiency video coding (HEVC) transcoder is proposed for implementation on cloud, while the user ends are computational light-weighted.
Highlights
The rapid development of mobile communication technology (e.g., 5G communication) has contributed a lot to video transmission [1]
Most of the existing video coding schemes focusing on the compression performance while sacrificing the computational complexity, obviously, these methods often focus only on the compression part, but ignores the power consumption that is critical for practical scenarios, which would lead to the unbalance of the video communication ecosystem
In order to provide a mobile video communication framework of low complexity at both end-user devices by combining the characteristics of two video coding schemes, this paper proposes an improved distributed video coding (DVC) to high efficiency video coding (HEVC) video transcoder based on cloud computing
Summary
The rapid development of mobile communication technology (e.g., 5G communication) has contributed a lot to video transmission [1]. Information ecosystem theory has been widely used in recent years [2], and applied as a mature theory in the healthy ecology systems of hospital information and agricultural domain [3,4]. All of these studies have employed the “Ecological Methodology” to understand the information process deeply, but few researchers have studied the ecosystem of video transmission. This work presents a mobile video communication ecosystem based on cloud transcoding to solve the unbalanced relation between the power consumption and compression efficiency
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