.png){kind=icon}
返回
Object-Based Video Coding by Visual Saliency and Temporal Correlation
.png){kind=icon}
PRE
AI
DOI：10.1109/TETC.2017.2695640.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
When a disaster occurs, video communication is an effective way to disseminate large quantities of important information. However, video coding standards such as High Efficiency Video Coding (HEVC) compress entire videos, whatever the contents are; at low bit rates, the quality of significant objects deteriorates. In this paper, an object-based video coding method is proposed to address this problem. The proposed method extracts objects on the basis of visual saliency and temporal correlation between frames. Subsequently, we execute pre-processing which degrades the background quality before encoding the video with HEVC. This method can reduce the bit rate while preserving target object quality. Experimental comparison with HEVC demonstrates the superior performance of the proposed method.
Keyword:
Encoding
Image color analysis
Video coding
Visualization
Correlation
Standards
Bit rate
Object-based coding
object extraction
visual saliency
background blurring
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.4
论文数:
1.1K
被引数:
3.4K
机构
引用论文
.png){kind=icon}
Research on the consumption mode of green electricity in China-Based on theory of reasoned action
OAAI
OAAI分享收藏分享收藏
Disorder vs Delocalization: Which Is More Advantageous for High-Efficiency Organic Solar Cells?
PREAI
分享收藏
查看更多内容