Results 211 to 220 of about 15,063 (248)
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Spatiotemporal salient object detection by integrating with objectness
Multimedia Tools and Applications, 2017This paper proposes a novel spatiotemporal salient object detection method by integrating saliency and objectness, for videos with complicated motion and complex scenes. The initial salient object detection result is first built upon both saliency map and objectness map. Afterwards, the region size of salient object is adjusted to obtain the frame-wise
Tongbao Wu +3 more
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How the distribution of salient objects in images influences salient object detection
2013 IEEE International Conference on Image Processing, 2013We investigate the spatial distribution of salient objects in images. First, we empirically show that the centroid locations of salient objects correlate strongly with a centered, half-Gaussian model. This is an important insight, because it provides a justification for the integration of such a center bias in salient object detection algorithms ...
Schauerte, B., Stiefelhagen, R.
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Focusness guided salient object detection
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017Salient object detection aims to correctly highlight the most salient object(s) in an image. Combining fine-grained contrast prior with rough-grained object consistency, this paper proposes a Focusness Guided Salient object detection (FGS) algorithm.
Xiaolin Xiao, Yicong Zhou
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Salient Object Detection with Edge Recalibration
2020Salient Object Detection (SOD) based on Convolutional Neural Networks (CNNs) has been widely studied recently. How to maintain a complete and clear object boundary structure is still a key issue. Existing works with the utilization of edge information have already improved this issue to some extent.
Zhenshan Tan +2 more
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Salient Object Detection via Objectness Proposals
Proceedings of the AAAI Conference on Artificial Intelligence, 2015Salient object detection has gradually become a popular topic in robotics and computer vision research. This paper presents a real-time system that detects salient object by integrating objectness, foreground and compactness measures. Our algorithm consists of four basic steps.
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Oscillation analysis for salient object detection
Multimedia Tools and Applications, 2012Salient object detection from an image is important for many multimedia applications. Existing methods provide good solutions to saliency detection; however, their results often emphasize the high-contrast edges, instead of regions/objects. In this paper, we present a method for salient object detection based on oscillation analysis.
Yang Liu 0009 +4 more
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Ranking Video Salient Object Detection
Proceedings of the 27th ACM International Conference on Multimedia, 2019Video salient object detection has been attracting more and more research interests recently. However, the definition of salient objects in videos has been controversial all the time, which has become a critical bottleneck in video salient object detection. Specifically, the sequential information contained in videos results in a fact that objects have
Zheng Wang 0008 +3 more
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Edge guided salient object detection
Neurocomputing, 2017This paper proposes a novel edgtae guided salient object detection algorithm. Compared to existing works where edges artae always ignored, the proposed algorithm attaches great importance to edge information and shows that edges play an irreplaceable role throughout the salient object detection process.
Bing Yang 0003 +4 more
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Salient Object Detection with Boundary Information
2020 IEEE International Conference on Multimedia and Expo (ICME), 2020How 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 +3 more
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Salient Object Detection by Contextual Refinement
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020Context 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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