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Discovering salient objects from videos using spatiotemporal salient region detection
2015
Signal processing. Image communication
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The spatial saliency is computed estimating of color contrast cue and color distribution cue by exploiting patch level and region level image abstractions in a unified way. ...
Usually, images patches are compared with each other to compute color contrast and color distribution cues for salient region detection. ...
[40] also proposed a color and orientation distribution based spatial salient region detection approach. ...
doi:10.1016/j.image.2015.07.004
fatcat:tourjl47njbnfiim37tq4iuzg4
Center-surround divergence of feature statistics for salient object detection
2011
2011 International Conference on Computer Vision
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In this paper, we introduce a new method to detect salient objects in images. ...
The approach is based on the standard structure of cognitive visual attention models, but realizes the computation of saliency in each feature dimension in an information-theoretic way. ...
By means of the Kullback-Leibler Divergence, we determine the contrast of the center and the surround distribution of features for the dimensions intensity, color, and orientation. ...
doi:10.1109/iccv.2011.6126499
dblp:conf/iccv/KleinF11
fatcat:n2jev25rrbey5k53o4n2tkkhmy
Visual Saliency Models for Text Detection in Real World
2014
PLoS ONE
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A visualization of the distribution of scene texts and non-texts in the space constructed by three kinds of saliency maps, which are calculated using Itti's visual saliency model with intensity, color ...
and orientation features, is given. ...
Acknowledgments The pictures of Fig. 1, Fig. 2, Fig. 3 Fig. 9 : tuppus. Fig. 11 : hannah.rosen. Fig. 12 : me'nthedogs, sanchom, adactio, psd. ...
doi:10.1371/journal.pone.0114539
pmid:25494196
pmcid:PMC4262416
fatcat:kmses7mzdrgrdgeg4tfywjbvv4
Saliency detection based on directional patches extraction and principal local color contrast
2018
Journal of Visual Communication and Image Representation
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In this paper, we propose a novel computational model for saliency detection by integrating the holistic centerdirectional map with the principal local color contrast (PLCC) map. ...
In the proposed framework, perceptual directional patches are firstly detected based on discrete wavelet frame transform (DWFT) and sparsity criterion, then the center of the spatial distribution of the ...
Based on color contrast scheme by calculating each pixel's color difference between the average image color, a frequency-tuned approach was proposed for salient region detection in [19] . Rahtu et al ...
doi:10.1016/j.jvcir.2018.10.008
fatcat:nndomtfxgjc2nanklt7pqbsxiq
Spatiotemporal Saliency Detection and Its Applications in Static and Dynamic Scenes
2011
IEEE transactions on circuits and systems for video technology (Print)
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To this end, our spatiotemporal approach combines the spatial saliency by computing distances between ordinal signatures of edge and color orientations obtained from the center and the surrounding regions ...
and the temporal saliency by simply computing the sum of absolute difference between temporal gradients of the center and the surrounding regions. ...
Unlike existing methods based on the center-surround framework, we propose a novel solution for detecting salient regions by using SORM instead of directly using sample values of local feature distributions ...
doi:10.1109/tcsvt.2011.2125450
fatcat:6stl4b6bzfgm5jrtibd4b3hc3i
Saliency Detection with Flash and No-flash Image Pairs
[chapter]
2014
Lecture Notes in Computer Science
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These photometric cues from the two observations are independent of visual attributes like color, and they provide new and robust distinctiveness to support salient object detection. ...
In this paper, we propose a new saliency detection method using a pair of flash and no-flash images. Our approach is inspired by two observations. ...
This work was partially supported by a SRG grant from City University of Hong Kong (Project Number: 7002768). ...
doi:10.1007/978-3-319-10578-9_8
fatcat:cyv6pjzrnjgidjng4pengu7aqq
Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum
2012
IEEE transactions on multimedia
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We use the amplitude spectrum of QFT to represent the color, intensity, and orientation distributions for image patches. ...
The experiment results show that the proposed saliency detection model outperforms the state-of-the-art detection models. ...
built a saliency detection model based on the color and orientation distributions in images [11] . Recently, a saliency detection model by Valenti et al. ...
doi:10.1109/tmm.2011.2169775
fatcat:qdk3mj44ffdtlfuvckmvedom4i
Superpixel-based saliency detection
2013
2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)
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In this paper, we propose an effective superpixel-based saliency model. First, the original image is simplified by performing superpixel segmentation and adaptive color quantization. ...
Experimental results on a dataset containing 1,000 test images with ground truths demonstrate that the proposed saliency model outperforms state-of-the-art saliency models. ...
In [11] , both global color distribution and orientation distribution are fully utilized to selectively generate the saliency map. ...
doi:10.1109/wiamis.2013.6616119
dblp:conf/wiamis/LiuML13
fatcat:jup775pgvzbbjbtrj6rplb5kia
Global-Context Based Salient Region Detection in Nature Images
2012
IEICE transactions on information and systems
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One of the main aims of visual attention in computer vision is to detect and segment the salient regions in an image. ...
In this paper, we employ matrix decomposition to detect salient object in nature images. ...
Thus, if the saliency in an image is dominated by color content, the salient regions are well covered by the global color modeling proposed in this paper. ...
doi:10.1587/transinf.e95.d.1556
fatcat:ji2mrqku6rf2do6cwlm447xlo4
Saliency detection: A self-ordinal resemblance approach
2010
2010 IEEE International Conference on Multimedia and Expo
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In saliency detection, regions attracting visual attention need to be highlighted while effectively suppressing non-salient regions for the semantic scene understanding. ...
To address this problem, we propose a method for detecting salient regions based on a self-ordinal resemblance measure (SORM). ...
by using the edge and color orientation information. ...
doi:10.1109/icme.2010.5583287
dblp:conf/icmcs/KimJK10
fatcat:ud2otm2q6nfcvk6wwrden44itq
Exploiting global priors for RGB-D saliency detection
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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A two-stage RGB-D salient object detection framework is presented. It first integrates the region contrast, together with the background, depth, and orientation priors to achieve a saliency map. ...
Inspired by the effectiveness of global priors for 2D saliency analysis, this paper aims to explore those particular to RGB-D data. ...
Figure 3a and Figure 3b illustrate the depth distribution of salient objects and the distribution for all scenes, respectively, corresponding to the probabilities P (D|S) and P (D). ...
doi:10.1109/cvprw.2015.7301391
dblp:conf/cvpr/RenGYZY15
fatcat:kpmgelrsnnelvkwpi7ai4rejoi
How Salient is Scene Text?
2012
2012 10th IAPR International Workshop on Document Analysis Systems
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Initial results indicate that saliency maps produced by these attention models can be used for aiding scene text detection algorithms by suppressing non-text regions. ...
Computational models of visual attention use image features to identify salient locations in an image that are likely to attract human attention. ...
Firstly, because of the high dimensionality of colored images and secondly, because of the variety of color, font, size and orientation in which the text can occur in a natural scene. ...
doi:10.1109/das.2012.42
dblp:conf/das/ShahabSDU12
fatcat:hz2sieg53bh4vezb6vmk4pxdp4
A Survey on Various Saliency Detection Methods
2017
International Journal of Computer Applications
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One of the main objectives of the work is to perform a detail study in the field of Saliency detection by keeping focus on the different bottom-up computational models and the methods used to predict saliency ...
Detecting and segmenting salient objects, also known as salient object detection is used to extract the most interesting object/objects in a scene and has resulted in many applications. ...
Furthermore, compute the global saliency by utilizing the global color distribution model embedded with color coherence, together with the multiple edge saliency. ...
doi:10.5120/ijca2017913187
fatcat:t72h4ja4rjbixodutttc6zwkby
Autonomous Salient Feature Detection through Salient Cues in an HSV Color Space for Visual Indoor Simultaneous Localization and Mapping
2010
Advanced Robotics
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The robot estimates its pose by using the detected features and builds a grid map of the unknown environment by using a range sensor. The feature positions are stored in the grid map. ...
Then, the saliency of each pixel is computed by measuring the level of similarity between the selected features and the given image. ...
Acknowledgements This paper was produced for the Intelligent Robotics Development Program, one of the 21st Century Frontier R&D Programs funded by the Ministry of Commerce, Industry and Energy of South ...
doi:10.1163/016918610x512613
fatcat:d7jbn6jrsrgstpfemmkvyk25mu
Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image
2016
Mathematical Problems in Engineering
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the third is global color distribution map. ...
In this paper, we propose a novel salient object detection algorithm which takes both background and foreground cues into consideration and integrate a bottom-up coarse salient regions extraction and a ...
Acknowledgments The paper is supported by the National Science and Technology Support Project under Grant 2015IM030300. ...
doi:10.1155/2016/2138747
fatcat:qrajb4tbxjdonmq5xsfc3ceswa
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