Motion-Compensated Deinterlacing Based on Scene Change Detection

被引:0
|
作者
Zhu, Xiaotao [1 ]
Huang, Qian [1 ,2 ]
Ye, Feng [1 ]
Liu, Fan [1 ]
Xu, Shufang [1 ]
Wang, Yanfang [1 ]
机构
[1] Hohai Univ, Coll Comp & Informat, Nanjing 211100, Peoples R China
[2] Jilin Univ, Minist Educ, Key Lab Symbol Computat & Knowledge Engn, Changchun 130012, Peoples R China
来源
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2017, PT II | 2018年 / 10736卷
基金
中国国家自然科学基金;
关键词
Scene change detection; Motion estimation; Motion-compensated interpolation; Deinterlacing; ALGORITHM;
D O I
10.1007/978-3-319-77383-4_39
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes to simplify the motion estimation process of motion-compensated deinterlacing based on the results of scene change detection. The design idea consists of four parts: scene change detection, motion estimation, motion state analysis, and motion-compensated interpolation. First of all, scene change detection is performed in the current field and the backward field, followed by intra interpolation or motion-compensated interpolation based on backward, forward or bi-directional motion estimation. Compared with conventional motion estimation schemes, the motion estimation and motion-compensated interpolation processes are simplified for video sequences with frequent scene changes. Experimental results show that the proposed algorithm outperforms traditional ones in terms of objective and subjective qualities. Moreover, the additional complexity is marginal.
引用
收藏
页码:397 / 406
页数:10
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