Saliency Detection via Absorbing Markov Chain with Multi-Level Cues

被引：3

作者：

Lv, Pengfei ^{[1
]}

Yu, Xiaosheng ^{[1
]}

Chi, Jianning ^{[1
]}

Wu, Chengdong ^{[1
]}

机构：

[1] Northeastern Univ, Fac Robot Sci & Engineer, Shenyang 110819, Peoples R China

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2022年 / E105A卷 / 06期

基金：

中国国家自然科学基金;

关键词：

saliency object detection; absorbing Markov chain; multi-level cues; deep feature;

D O I：

10.1587/transfun.2021EAL2071

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A robust saliency detection approach for images with a complex background is proposed. The absorbing Markov chain integrating low-level, mid-level and high-level cues dynamically evolves by using the similarity between pixels to detect saliency objects. The experimental results show that the proposed algorithm has advantages in saliency detection, especially for images with a chaotic background or low contrast.

引用

页码：1010 / 1014

页数：5

共 50 条

[1] Saliency Detection via Absorbing Markov Chain
Jiang, Bowen
Zhang, Lihe
Lu, Huchuan
Yang, Chuan
Yang, Ming-Hsuan
[J]. 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2013, : 1665 - 1672
[2] Saliency Detection via Bidirectional Absorbing Markov Chain
Jiang, Fengling
Kong, Bin
Adeel, Ahsan
Xiao, Yun
Hussain, Amir
[J]. ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS, BICS 2018, 2018, 10989 : 495 - 505
[3] Region saliency detection via multi-feature on absorbing Markov chain
Wenjie Zhang
Qingyu Xiong
Weiren Shi
Shuhan Chen
[J]. The Visual Computer, 2016, 32 : 275 - 287
[4] Region saliency detection via multi-feature on absorbing Markov chain
Zhang, Wenjie
Xiong, Qingyu
Shi, Weiren
Chen, Shuhan
[J]. VISUAL COMPUTER, 2016, 32 (03): : 275 - 287
[5] Saliency Detection via Absorbing Markov Chain With Learnt Transition Probability
Zhang, Lihe
Ai, Jianwu
Jiang, Bowen
Lu, Huchuan
Li, Xiukui
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (02) : 987 - 998
[6] Mesh saliency detection via double absorbing Markov chain in feature space
Xiuping Liu
Pingping Tao
Junjie Cao
He Chen
Changqing Zou
[J]. The Visual Computer, 2016, 32 : 1121 - 1132
[7] Mesh saliency detection via double absorbing Markov chain in feature space
Liu, Xiuping
Tao, Pingping
Cao, Junjie
Chen, He
Zou, Changqing
[J]. VISUAL COMPUTER, 2016, 32 (09): : 1121 - 1132
[8] MULTI-LEVEL MODEL FOR VIDEO SALIENCY DETECTION
Bi, Hongbo
Lu, Di
Li, Ning
Yang, Lina
Guan, Huaping
[J]. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 4654 - 4658
[9] Saliency Detection with Bilateral Absorbing Markov Chain Guided by Depth Information
Wu, Jiajia
Han, Guangliang
Liu, Peixun
Yang, Hang
Luo, Huiyuan
Li, Qingqing
[J]. SENSORS, 2021, 21 (03) : 1 - 23
[10] Saliency region detection combining absorbing Markov chain and manifold ranking
Su H.-S.
Dai Z.-T.
Liu G.-H.
Zhang Q.-F.
[J]. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2018, 48 (06): : 1887 - 1894

← 1 2 3 4 5 →