.png){kind=icon}
Return
A Complexity Scalable H.264 Decoder with Downsizing Capability for Mobile Devices
.png){kind=icon}
PRE
AI
DOI：10.1109/TCE.2010.5506035.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
It is significantly challenging to playback H.264 compressed video in real time on mobile devices with limited computing power. In this paper, we propose a complexity scalable H.264/AVC decoding algorithm with a downsizing capability, which can offer the complexity scalability by directly decoding the compressed video at a downsized resolution. In the proposed method, the predicted and residual signal can be generated in a downsized resolution by modifying the motion compensation (MC) and the inverse discrete cosine transform (IDCT). As a result, the computational decoding load can be significantly reduced. Moreover, the proposed H.264 decoder can achieve the complexity scalability by adaptively discarding (or simplifying) redundant computations which have larger complexity but less effect on the video quality. Experimental results show that the decoding complexity can be reduced up to 43%, as compared to the conventional H.264/AVC decoder, while maintaining the acceptable video quality(1).
Keywords:
H.264/AVC decoder
decoding complexity scalability
downscaling
motion compensation
inverse transform
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
10.9
Papers:
5.3K
Citations:
6.8K
Organization
Cited Papers
Predictive model of social media and mobile phones problematic use: Impulsivity and social anxiety
OAAI
OAAIShareSaveShareSaveShareSaveDesign of a Minimal Polypeptide Unit for Bacteriochlorophyll Binding and Self-Assembly Based on Photosynthetic Bacterial Light-Harvesting Proteins.png)
Biochemistry
BiochemistryIF0
PREAI
ShareSave
View more