Bottom-up Saliency-Based Visual Attention
A New Approach of Feature Combination for Object Detection in Saliency based Visual Attention
... in saliency-based visual attention model proposed by ...of visual attention that does not seem reasonable ...to bottom-up features, top-down cues are also ...
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Bottom up visual attention for virtual human animation
... object based IOR ...the saliency map in order to represent the reduced importance of parts of the scene that the agent has already been familiarised ...
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Bottom-up visual attention model for still image: a preliminary study
... that based on the Difference of Gaussian is inspired by the characteristics of visual neurons that most sensitive in a small region in the center of the visual ...the attention towards that ...
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Multi-feature Bottom-up Processing and Top-down Selection for an Object-based Visual Attention Model
... an attention model which draws at- tention over perceptual units of visual information, called proto-objects, and which uses a linear combination of multiple low-level features (such as colour, symmetry or ...
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Goal Directed Visual Search Based on Color Cues: Co-operative Effectes of Top-Down & Bottom-Up Visual Attention
... The search scanpath overlaid on the (b) Bottom-up saliency map (c) top-down saliency map (d) Final attention map Figure 5.6 Top-down and bottom-up correlation curves for search scanpaths[r] ...
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Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement
... of bottom-up and top-down mechanisms for saliency detection, which are actually guided by necrologies such as Gestalt laws and background ...of saliency detection is to enable computers to ...
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Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement
... of bottom-up and top-down mechanisms for saliency detection, which are actually guided by necrologies such as Gestalt laws and background ...of saliency detection is to enable computers to ...
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Video Deinterlacing by Graphic based Visual Saliency
... Here k is a weight for the MC interpolation, and xo is obtained by the edge-line minimization technique. In the prior existing algorithm the value of k was determined a value as k=8 an integer. In our proposed algorithm ...
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A DCT based in-focus visual saliency detection algorithm.
... Human Visual System (HVS) is to attend visually salient regions in an image whilst ignoring the regions of less ...and visual tracking [1-5]. In the past decade, many different saliency models have ...
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Towards three-dimensional visual saliency
... a visual inspection, we found that the correlation between observers is highest for images containing faces, people, and text and lowest for im- ages containing street views and ...obtained based on the ...
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A Multi-scale colour and Keypoint Density-based Approach for Visual Saliency Detection.
... so-called bottom-up attention processes aiming to reproduce the attentional principles representing the neuronal activities in V1 towards those areas in the brain responsible for the eye ...object ...
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A low complexity visual saliency model based on in-focus regions and centre sensitivity.
... Existing saliency models can be broadly categorized into two different types: bottom-up and top-down ...models. Bottom- up saliency models focus on detecting specific features ...
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Inferring Attention Shift Ranks of Objects for Image Saliency
... ject saliency previously studied in [5, 34] and proposes to use fixation maps to guide saliency in a top-down ...human visual process us- ing both bottom-up and top-down ...both ...
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Saliency Sandbox Bottom-Up Saliency Framework
... Keywords: Saliency Sandbox, Feature Maps, Attention Maps, Saliency Maps, Bottom Up Abstract: Saliency maps are used to predict the visual stimulus raised from a certain ...
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Models of bottom up and top down visual attention
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Psychophysical tests of the hypothesis of a bottom-up saliency map in primary visual cortex
... biologically based V1 model has suggested that V1 mechanisms can also explain bottom-up saliencies beyond the pop-out of basic features, such as the low saliency of a unique conjunction ...
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A Real Time Implementation of the Saliency-Based Model of Visual Attention on a SIMD Architecture
... Abstract. Visual attention is the ability to rapidly detect the visually salient parts of a given ...the saliency- based algorithm eciently models the visual attention ...the ...
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Neural Activities in V1 Create a Bottom-Up Saliency Map
... of visual inputs can reach all the way to ...directing attention to a visual location, either overtly or covertly, without a shift in ...gaze. Attention may either be directed under voluntary ...
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Target detection using saliency-based attention
... Although our model is mostly concerned with shifts of covert attention, and ignores all of the mechanistic details of eye movements, we attempt below a quantitative comparison be[r] ...
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Enhanced and Efficient Image Retrieval via Visual Attention and Saliency Features
... of visual words is nothing but the image which is stated in the state-of-the-art image retrieval systems, and this image is obtained by quantized descriptors of high-dimensional local ...the visual words so ...
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