Fixation Prediction by Object and Saliency Maps
Salient Object Detection in Videos Based on SPATIO Temporal Saliency Maps and Colour Features U Swamy Kumar & Smt G Hemalatha
... Salient object detection in videos is challenging because of the competing motion in the background, resulting from camera tracking an object of interest, or motion of objects in the ...temporal ...
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OOP: Object-Oriented-Priority for Motion Saliency Maps
... final saliency is evaluated on the whole object region, it is not said that the object containing the most salient pixel is the most salient object ...moving object is sought, or to ...
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A Comparison Study of Saliency Models for Fixation Prediction on Infants and Adults
... the object of interest while capturing ...the saliency maps obtained by these three models have a stronger positive correlation with infant ...
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Saliency maps on image hierarchies
... Salient object detection also differs from supervised object detection tech- niques, which are aimed at finding particular categories like faces, cars, tables, ...the object of interest must be part ...
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A model of proto-object based saliency
... output saliency map from the AWS algo- rithm will include a basic representation of ...the saliency map from the AWS algorithm will be blurrier than that of the proto-object ...blurrier maps ...
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Saliency maps for finding changes in visual scenes?
... Experiment 1. Given that change detection and visual search differ in many respects, a direct translation of a change-detection design to a visual-search design is, of course, not possible. For instance, error rates in ...
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Video Saliency Detection Using Object Proposals
... infer saliency maps based on the hypothesis that humans pay more atten- tion to regions that strongly contrast with their surround- ings [5], [8], [11], ...the saliency detection ...obtained ...
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Saliency Methods for Object Discovery Based on Image and Depth Segmentation
... saliency maps. In our method, salient regions are extracted from the saliency map to estimate the location and extent of ...the saliency map (middle left) and image segmentation (middle right) ...
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Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era
... for saliency: the Similarity, the Linear Correlation Coefficient (CC), the Area Under the ROC Curve (AUC) and its shuffled version (sAUC), the Normalized Scan- path Saliency (NSS) and the Earth-Mover ...
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Image Quality Assessment by Saliency Maps
... A saliency map is effective if precision and recall measures with respect to human fixation points are ...for saliency (Marchesotti, 2009). For a interesting overview about saliency see ...
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PREDICTING SALIENCY MAPS FOR ASD PEOPLE
... (3) School of Communication and Information Engineering, Shanghai University, China [email protected], [email protected], [email protected], [email protected], [email protected] ABSTRACT This paper presents a novel ...
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Towards Understanding Deep Saliency Prediction
... classification, object detection and image style transfer which are done by extracting the required ...image. Saliency is represented as a heat map having higher values at more significant ...
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Analysis of Disparity Maps for Detecting Saliency in Stereoscopic Video
... and object motion, and depth ...final saliency map based on the reliability of the individual saliency ...disparity maps for certain ...reliable saliency detection al- gorithm such as ...
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The influence of visual saliency on fixation patterns in individuals with Autism Spectrum Disorders
... The Saliency Toolbox produced a low-resolution (40 x 20 pixels) map of saliency values corresponding to each ...visual saliency maps, see Figure 1. The mean saliency value of all map ...
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Shallow and deep convolutional networks for saliency prediction
... feature maps from the convolutional ...for saliency, as we propose in our deeper ...feature maps but directly train a stack of new convolutional layers on top of the transferred ...on fixation ...
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Scanpath and saliency prediction on 360 degree images
... maps, treating the equilibrium distribution over map locations as activation and saliency values. Although these models performed reasonably well qualitatively, they had limited practical use because they ...
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A Deep Multi-Level Network for Saliency Prediction
... for saliency prediction. Current state of the art models for saliency prediction employ Fully Convolutional networks that perform a non-linear combination of features extracted from the last ...
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Automatic Foreground object detection using Visual and Motion Saliency
... motion saliency information for determining the foreground object, the motion-induced features such as shape and foreground/background color GMM models might not be able to well describe the changes of ...
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RecSal : Deep Recursive Supervision for Visual Saliency Prediction
... sixth fixation point of all users to generate the final fixation map per ...first fixation for each user to avoid an extra point because of the initial centre ...sequenced fixation ...
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SalGAN: visual saliency prediction with generative adversarial networks
... learns saliency related local features on each image location in parallel and then learns to simultaneously incorporate global context and scene context to infer ...feature maps, and a prior learning net- ...
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