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Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach
2016
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Exploiting surroundedness for saliency detection: a boolean map approach This work was made openly accessible by BU Faculty. Please share how this access benefits you. Your story matters. ...
Abstract A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized by a set of binary images, which are generated by randomly thresholding the image's color channels. ...
In this paper, we explore the surroundedness cue for saliency detection. ...
doi:10.1109/tpami.2015.2473844
pmid:26336114
fatcat:ra253jx625cuddlr4z7oakhjjm
Saliency Detection: A Boolean Map Approach
2013
2013 IEEE International Conference on Computer Vision
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A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized by a set of binary images, which are generated by randomly thresholding the image's color channels. ...
Based on a Gestalt principle of figure-ground segregation, BMS computes saliency maps by analyzing the topological structure of Boolean maps. BMS is simple to implement and efficient to run. ...
In this paper, we explore the surroundedness cue for saliency detection. ...
doi:10.1109/iccv.2013.26
dblp:conf/iccv/ZhangS13
fatcat:ibjml6c6ovfjrm6qgypmi63z4y
Multi-Scale Cascade Network for Salient Object Detection
2017
Proceedings of the 2017 ACM on Multimedia Conference - MM '17
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the saliency prior knowledge obtained from coarser stages and thus lead to better detection accuracy. ...
Our network consists of several stages (sub-networks) for handling saliency detection across different scales. ...
[37] explore the surroundedness cue for salient object detection through Boolean Maps computed by using image intensities. ...
doi:10.1145/3123266.3123290
dblp:conf/mm/LiYCCGC17
fatcat:ssbtm2omszeythyqkjed5p6ajq
Detecting Salient Image Objects Using Color Histogram Clustering for Region Granularity
2021
Journal of Imaging
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Saliency detection is generally a complex process to copycat the human vision system in the processing of color images. ...
However, the performances of the existing region-based salient object detection methods are extremely hooked on the selection of an optimal region granularity. ...
Graph-Based Saliency Detection The bottom-up saliency detection methods based on graph structure have recently gained attention for object detection. ...
doi:10.3390/jimaging7090187
pmid:34564113
fatcat:zvr3qmmz2zbe5fleb6lzbcu5pq
Hierarchical Contour Closure-Based Holistic Salient Object Detection
2017
IEEE Transactions on Image Processing
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Such fine-grained contrast based salient object detection methods are stuck with saliency attenuation of the salient object and saliency overestimation of the background when the image is complicated. ...
To better compute the saliency for complicated images, we propose a hierarchical contour closure based holistic salient object detection method, in which two saliency cues, i.e., closure completeness and ...
[34] proposed a convexity context based saliency model while Zhang et al. [35] explored the surroundedness cue and presented a Boolean map based saliency model. ...
doi:10.1109/tip.2017.2703081
pmid:28500000
fatcat:rxkjth3jqraqjcatmrzizzm6pe
Automatic Salient Object Detection for Panoramic Images Using Region Growing and Fixation Prediction Model
[article]
2018
arXiv
pre-print
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Finally, a refinement step based on geodesic distance is utilized for post-processing to derive the final saliency map. ...
Almost all previous works on saliency detection have been dedicated to conventional images, however, with the outbreak of panoramic images due to the rapid development of VR or AR technology, it is becoming ...
[17] proposed a model that combines multiscale low-level features to create a saliency map. Harel et al. ...
arXiv:1710.04071v6
fatcat:askeucd3vrhfdart3hyptwcloy
A Neurally Inspired Model of Figure Ground Organization with Local and Global Cues
2020
AI
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Model performance is evaluated based on figure-ground classification accuracy (FGCA) at every border location using the BSDS 300 figure-ground dataset. ...
A biologically motivated, feed forward computational model of FGO incorporating convexity, surroundedness, parallelism as global cues and spectral anisotropy (SA), T-junctions as local cues is presented ...
[63] propose a feed-forward model with Grouping and Border Ownership cells to study proto-object based saliency. Though the proposed model is inspired by this work, the goal of Russell et al. ...
doi:10.3390/ai1040028
fatcat:gpvzxkbl45csldptce7ynqgoou
A model of figure ground organization incorporating local and global cues
[article]
2020
arXiv
pre-print
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We evaluate model performance based on figure-ground classification accuracy (FGCA) at every border location using the BSDS 300 figure-ground dataset. ...
We present a biologically motivated, feed forward computational model of FGO incorporating convexity, surroundedness, parallelism as global cues and Spectral Anisotropy (SA), T-junctions as local cues. ...
[66] propose a feed-forward model with Grouping and Border Ownership cells to study proto-object based saliency. Though our model is inspired by this work, the goal of Russell et al. ...
arXiv:2003.06731v1
fatcat:photm6hmfvg5rcvl5kejyv3e5a
Prediction of Natural Image Saliency for Synthetic Images
[article]
2021
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This work shows that carefully chosen and integrated features, including a deep learning based one, can be used for saliency prediction. The integration is obtained by using Multiple Kernel Learning. ...
Numerous saliency models are being developed with the use of neural networks and are capable of combining various features and predicting the saliency values with great results. ...
The use of different scales means that multiscale feature extraction is possible. ...
doi:10.34658/9788366741102.11
fatcat:wur6cu4wanewffz26ss4kulwhm
How well can we predict where people look in images?
[article]
2020
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metric-specific saliency maps that account for how the metric interprets the saliency maps. ...
Here, we show that the underlying cause for the disagreement between saliency metrics is actually that they interpret saliency maps in highly different ways. ...
Zhang J, Sclaroff S (2015) Exploiting surroundedness for saliency detection: A Boolean
map approach. IEEE Trans Pattern Anal Mach Intell, in press.
37. ...
doi:10.15496/publikation-45488
fatcat:kz3xyoqy2zbxfeyrlgt7skqefi
TEWI 2021
[article]
2021
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The use of different scales means that multiscale feature extraction is possible. ...
It is able to correctly detect conspicuous regions such as faces, text and animals and is rated as one of the best in the MIT saliency benchmark. ...
The construction of information granules is based on certain criteria, such as spatial neighbourhood (e.g. superpixels), similarity or functionality. ...
doi:10.34658/9788366741102
fatcat:yyyfe62vwvcvpntxliidkoavri