.png){kind=icon}
.png){kind=icon}
Return
GPU based High Definition Parallel Video Codec Optimization in Mobile Device
.png){kind=icon}
PRE
AI
DOI：10.1145/3241539.3267776.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
With the advances in wireless communication and the growing popularity of mobile devices, it has become rather normal to watch videos using mobile devices. However, there are severely challenges to using video codec on mobile devices, because: 1) insufficient computing resources, there is poor performance using mobile device; 2) the limited battery capacity on mobile device; 3) CPU utilization is too high when using traditional video codec. In this paper, we proposed a GPU based High Definition Parallel Video Codec on mobile devices, which is an efficient video codec with the cooperation of CPU and GPU. The video codec system is fully compliant with the video codec h264 standard. Compared with the scheme using existing X264, the presented experimental results evaluated the GPU based video codec achieves appreciable improvements in FPS(frames per second), the energy consumption and utilization of CPU are reduced properly at the same time.
Keywords:
GPU
Parallel Computing
Motion Estimation
Mobile Device
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
P
IF:
0
Papers:
20
Citations:
0