基于场景切变检测的视频去隔行方法

doi:10.3969/j.issn.1006-2475.2017.08.011

计算机与现代化

基于场景切变检测的视频去隔行方法

1.河海大学计算机与信息学院，江苏南京211100；2.南京信息技术研究院，江苏南京210036；
3.中国电子科技集团公司第二十八研究所，江苏南京210007

收稿日期:2016-12-11 出版日期:2017-08-31 发布日期:2017-09-01
作者简介:朱小涛(1991-)，女，江苏宿迁人，河海大学计算机与信息学院硕士研究生，研究方向：视频处理；王晓琦(1981-)，男，南京信息技术研究院高级工程师，硕士，研究方向：多媒体数据处理；杜小丹(1990-)，女，中国电子科技集团公司第二十八研究所工程师，硕士，研究方向：大数据分析；通信作者：黄倩(1981-)，男，副研究员，博士，研究方向：多媒体数据处理，云计算，机器学习。
基金资助:
国家自然科学基金资助项目（61300122，61502145）

A Deinterlacing Scheme Based on Scene Change Detection

1. College of Computer and Information, Hohai University, Nanjing 211100, China; 
2. Nanjing Research Institute of Information Technology, Nanjing 210036, China; 
3. The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China

Received:2016-12-11 Online:2017-08-31 Published:2017-09-01

摘要/Abstract

摘要：

本文提出一种基于场景切变检测的运动补偿去隔行方案，具体包括5部分：场景切变检测、运动估计、运动状态分析、运动一致性分析和运动补偿插值。首先，比较相邻图像的像素绝对差来判断

是否存在场景切变，若存在场景切变，则只考虑后向候选运动向量，反之则进行双向预测。其次，通过运动分析来决定是否对更小尺寸的块进行运动估计。最后进行运动补偿插值。实验结果表明，相比

于传统的去隔行算法，本文方案的主客观性能均有所提升。

关键词: 场景切变, 运动补偿, 去隔行, 运动估计, 双向预测

Abstract:

This paper proposes a motioncompensated deinterlacing scheme based on the results of scene change detection. The design idea consists of five parts: scene change

detection, motion estimation, motion state analysis, motion consistency analysis and motion compensation interpolation. Firstly, absolute pixel differences between adjacent

pictures are compared to determine whether scene change exists. If scene change exists, only backward motion vector candidates are considered; otherwise, bidirectional

prediction is conducted. Secondly, motion analysis is utilized to determine whether the motion estimation should be performed again with a smaller block size. Finally, motion

compensated interpolation is performed. Experimental results show that the proposed scheme achieves better subjective and objective results compared with conventional

deinterlacing approaches.


Key words: scene change, motion compensation, deinterlacing, motion estimation, bidirectional prediction

中图分类号:

TP391.41

朱小涛1，王晓琦2，杜小丹3，黄倩1. 基于场景切变检测的视频去隔行方法[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2017.08.011.

ZHU Xiaotao1, WANG Xiaoqi2, DU Xiaodan3, HUANG Qian1. A Deinterlacing Scheme Based on Scene Change Detection[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.08.011.

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基于场景切变检测的视频去隔行方法

A Deinterlacing Scheme Based on Scene Change Detection

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