Results 211 to 220 of about 4,939,141 (238)

Salient Object Detection by Contextual Refinement

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
Context plays an important role in the saliency prediction task. In this work, we propose a saliency detection framework that not only extracts visual features but also models two kinds of context including object-object relationships within a single image and scene contextual information.
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Salient Object Detection in Noisy Images

2016
Salient Object Detection SOD has several applications including image and video compression, video summarization, image segmentation and object discovery etc. Several Methods have been suggested in literature for detecting salient object in digital images.
Nitin Kumar 0001, Maheep Singh, Mahesh Chandra Govil, Emmanuel S. Pilli, Ajay Jaiswal   +4 more
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A Universal Framework for Salient Object Detection

IEEE Transactions on Multimedia, 2016
In this paper, we propose a novel universal framework for salient object detection, which aims to enhance the performance of any existing saliency detection method. First, rough salient regions are extracted from any existing saliency detection model with distance weighting, adaptive binarization, and morphological closing.
Lei, Jianjun, Wang, Bingren, Fang, Yuming, Lin, Weisi, Callet, Patrick Le, Ling, Nam, Hou, Chunping   +6 more
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Salient object detection with fixation priori

2016 International Conference on Machine Learning and Cybernetics (ICMLC), 2016
There are two main areas in saliency detection: fixation prediction and salient object detection. Researchers always use bottom-up low-level features and straightforward rules for salient object detection. However these rules are unreliable in common scenes.
Haibo Wang, Hui Lv
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Salient Object Detection with Boundary Information

2020 IEEE International Conference on Multimedia and Expo (ICME), 2020
How to distinguish the low-contrast area near boundaries is a basic challenge in salient object detection. Most of recent state-of-the-art methods can achieve a good performance but still can’t work well near boundaries. In this paper, we propose a novel network based on multi-level feature fusion with boundary information to solve this problem.
Kai Chen, Yongxiong Wang, Chuanfei Hu, Hang Shao 0001   +3 more
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Thresholding in salient object detection: a survey

Multimedia Tools and Applications, 2017
Salient Object Detection (SOD) in natural images is an active research area with burgeoning applications across diverse disciplines such as object recognition, image compression, video summarization, object discovery, image retargetting etc. Most salient object detection methods model this problem as a binary segmentation problem where firstly a ...
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Phase-based salient object detection

2012 6th International Conference on Signal Processing and Communication Systems, 2012
In this paper, we propose an efficient approach to computing saliency maps and determining salient areas in images. Biologically inspired feature maps are first constructed for a given image, and the phase information is then extracted from each feature map in the frequency domain.
Jia Wan, Kin-Man Lam 0001
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Segmentation-Based Salient Object Detection

2015
Salient object detection is an important task for both the human perception and computer vision applications. Contrary to the popular pixel- or superpixel-based salient object detection methods, we employ high quality segmentation to facilitate salient object detection in this paper. After segmenting the input image using a recent method of gPb-owt-ucm,
Kai-Fu Yang, Xin Gao, Ju-Rong Zhao, Yong-Jie Li 0001   +3 more
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Depth Guided Detection of Salient Objects

2016
Saliency estimation is a complex problem of computer vision area, which results can enhance many tools or applications. In most of existing solutions, data that comes from stereopsis was not involved. We propose an algorithm, that adds depth information to detection of important objects in the scene.
Lukasz Dabala, Przemyslaw Rokita
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Detecting and Recognizing Salient Object in Videos

2018
Saliency detection has been an interesting research field. Some researchers consider it as a segmentation problem some others treat it differently. In this paper, we propose a novel video saliency framework that detects and recognizes the object of interest.
Rahma Kalboussi, Mehrez Abdellaoui, Ali Douik   +2 more
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