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A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges [article]

Dingwen Zhang, Huazhu Fu, Junwei Han, Ali Borji, Xuelong Li
2017 arXiv   pre-print
Co-saliency detection is a newly emerging and rapidly growing research area in computer vision community.  ...  co-saliency, and designing effective computational frameworks to formulate co-saliency.  ...  Liu et al. proposed a hierarchical segmentation based co-saliency model [62] .  ... 
arXiv:1604.07090v5 fatcat:j7zqwqaowndrbcuoazzizkuqr4

Review of Visual Saliency Detection with Comprehensive Information [article]

Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, and Qingming Huang
2018 arXiv   pre-print
RGBD saliency detection, co-saliency detection, or video saliency detection.  ...  Co-saliency detection model introduces the inter-image correspondence constraint to discover the common salient object in an image group.  ...  [81] proposed a fusion framework for co-saliency detection based on rank constraint, which is valid for multiple images and also works well on single image saliency detection.  ... 
arXiv:1803.03391v2 fatcat:htcmhlo32jhczehvvq6nmgzwam

Research on Salient Object Detection using Deep Learning and Segmentation Methods

2019 International journal of recent technology and engineering  
It not only focuses on the methods to detect saliency objects, but also reviews the works related to spatio temporal video attention detection technique in video sequences.  ...  Detecting and segmenting salient objects in natural scenes, often referred to as salient object detection has attracted a lot of interest in computer vision and recently various heuristic computational  ...  Benefiting from the discriminability of video co-saliency, a unified framework for segmenting out common salient regions of relevant videos, guided by video co-saliency prior is presented.  ... 
doi:10.35940/ijrte.b1046.0982s1119 fatcat:6ofq53vb7zhx7boq4ndpraphs4

Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation

Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Chunping Hou
2018 IEEE Transactions on Image Processing  
Different from the most existing co-saliency methods focusing on RGB images, this paper proposes a novel co-saliency detection model for RGBD images, which utilizes the depth information to enhance identification  ...  The proposed method introduces the depth information and multi-constraint feature matching to improve the performance of co-saliency detection.  ...  [58] proposed a RGBD saliency detection method based on saliency fusion and propagation.  ... 
doi:10.1109/tip.2017.2763819 pmid:29053455 fatcat:yok5suowh5ga5dx3mkvhinmkda

RGB-D salient object detection: A survey

Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao
2021 Computational Visual Media  
Finally, we discuss several challenges and open directions of RGB-D based salient object detection for future research.  ...  Although various RGB-D based salient object detection models with promising performance have been proposed over the past several years, an in-depth understanding of these models and the challenges in this  ...  Acknowledgements This research was supported by a Major Project for a New Generation of AI under Grant No. 2018AAA0100400, National Natural Science Foundation of China (61922046), and Tianjin Natural Science  ... 
doi:10.1007/s41095-020-0199-z pmid:33432275 pmcid:PMC7788385 fatcat:foiz2zth4vckjfuhvh524hwdtq

Ensemble Video Object Cut in Highly Dynamic Scenes

Xiaobo Ren, Tony X. Han, Zhihai He
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
We incorporate this similarity information into a graph-cut energy minimization framework for foreground object segmentation.  ...  We propose a foreground salience graph (FSG) to characterize the similarity of an image patch to the bag-of-words background models in the temporal domain and to neighboring image patches in the spatial  ...  Our approach integrates patch-level local background modeling with bags of words, region-level foreground object segmentation with graph cuts, and temporal domain information fusion among foreground-background  ... 
doi:10.1109/cvpr.2013.254 dblp:conf/cvpr/RenHH13 fatcat:va5zydzufbe33ixhfajpekrkzu

Front Matter: Volume 10615

Hui Yu, Junyu Dong
2018 Ninth International Conference on Graphic and Image Processing (ICGIP 2017)  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library.  ...  saliency and local threshold segmentation [10615-105] 10615 1X 10615 1Y Weakly supervised image semantic segmentation based on clustering superpixels [10615-9] 10615 1Z A robust fuzzy local Information  ... 
doi:10.1117/12.2316542 fatcat:tdaw76jq6nehpnttiga2lcuhna

Weld Inspection Based on Radiography Image Segmentation with Level Set Active Contour Guided Off-Center Saliency Map

Mohamed Ben Gharsallah, Ezzeddine Ben Braiek
2015 Advances in Materials Science and Engineering  
In this paper we propose a new active contour based level set method for weld defect detection in radiography images.  ...  An off-center saliency map exploited as a feature to represent image pixels is embedded into a region energy minimization function to guide the level set active contour to defects boundaries.  ...  [17] proposed also a region local level set active contour where a local image fitting (LIF) energy function is used to guide the level set active contour to object boundaries based on local statistical  ... 
doi:10.1155/2015/871602 fatcat:yna55hvwibhf5jagespfbzar5e

Unsupervised change detection using multi-scale and multi-resolution gaussian-mixture-model guided by saliency enhancement

Dinghua Xue, Tao Lei, Xiaohong Jia, Xingwu Wang, Tao Chen, Asoke K. Nandi
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
To address these issues, we propose a multiscale and multiresolution Gaussianmixture-model guided by saliency-enhancement (SE-MGMM) for change detection in bitemporal remote sensing images.  ...  Index Terms-Change detection, feature fusion, Gaussianmixture-model (GMM), saliency enhancement.  ...  In practical applications, saliency detection can guide image co-segmentation.  ... 
doi:10.1109/jstars.2020.3046838 fatcat:s5su7tnrxrhnjobhco4qqkrpri

Saliency Guided Computer-aided Diagnosis for Neurodegenerative Dementia

Olfa Ben Ahmed, Mohamed-Chacker Larabi, Marc Paccalin, Christine Fernandez-Maloigne
2017 Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies  
Inspired by the clinician visual behavior, we propose in this work a new and automatic approach to detect and quantify local brain atrophies.  ...  The proposed approach combines both bottom-up and top-down visual saliency using domain knowledge in the brain MRI analysis.  ...  ACKNOWLEDGEMENT Data collection and sharing for this work was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904).  ... 
doi:10.5220/0006293001400147 dblp:conf/biostec/AhmedLPF17 fatcat:mnv63m2v2bd35aouh5kblx6azu

Recent Advances in Saliency Estimation for Omnidirectional Images, Image Groups, and Video Sequences

Marco Buzzelli
2020 Applied Sciences  
for co-saliency, and saliency shift for video saliency estimation.  ...  We focus on domains that are especially recent and relevant, as they make saliency estimation particularly useful and/or effective: omnidirectional images, image groups for co-saliency, and video sequences  ...  [131] designed a method for video saliency detection based on spatio-temporal fusion and low-rank coherency guided diffusion.  ... 
doi:10.3390/app10155143 fatcat:3akkibaelnfnpav2x7gfdllhg4

Image Co-Segmentation via Examples Guidance

Rachida Es-Salhi, Imane Daoudi, Hamid El
2019 International Journal of Advanced Computer Science and Applications  
In this paper, we propose a new co-segmentation method which takes advantage of the reliable segmentation of few selected images, in order to guide the segmentation of the remaining images in the collection  ...  In addition, for real-world images which have cluttered backgrounds, the existing co-segmentation approaches miss sufficient robustness to extract the common object from the background.  ...  ACKNOWLEDGMENT The authors wish to acknowledge the anonymous reviewers for their careful readings.  ... 
doi:10.14569/ijacsa.2019.0100165 fatcat:llv4exgm2rhotjpcrdlvcpe6qe

Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection [article]

Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu
2020 arXiv   pre-print
Co-saliency detection aims to discover the common and salient foregrounds from a group of relevant images.  ...  Third, we present a unified framework with encoder-decoder structure to jointly train and optimize the graph convolutional network, attention graph cluster, and co-saliency detection decoder in an end-to-end  ...  Pipeline of the proposed GCAGC for co-saliency detection.  ... 
arXiv:2003.06167v1 fatcat:viapz273g5cv7lzln7x76pfuxq

Co-Bootstrapping Saliency

Huchuan Lu, Xiaoning Zhang, Jinqing Qi, Na Tong, Xiang Ruan, Ming-Hsuan Yang
2017 IEEE Transactions on Image Processing  
In this paper, we propose a visual saliency detection algorithm to explore the fusion of various saliency models in a manner of bootstrap learning.  ...  Index Terms- Saliency detection, weak saliency model, strong saliency model, co-bootstrapping.  ...  A number of new methods have been proposed to deal with the fusion of saliency methods. Mai et al.  ... 
doi:10.1109/tip.2016.2627804 pmid:28113932 fatcat:p62itxqkxvefrlaijgk3nyfrdi

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images [article]

Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, and Nam Ling
2018 arXiv   pre-print
In this paper, we propose a novel co-saliency detection method for RGBD images based on hierarchical sparsity reconstruction and energy function refinement.  ...  Experiments on two RGBD co-saliency detection benchmarks demonstrate that the proposed method outperforms the state-of-the-art algorithms both qualitatively and quantitatively.  ...  [52] proposed a saliency fusion framework for co-saliency detection based on the rank constraint, which is valid for multiple images and also works well on single image saliency detection.  ... 
arXiv:1811.06679v1 fatcat:k54zbjluafclvgsjpmqgllnjmq
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