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512
LOW-SALIENCY PRIOR FOR DISOCCLUSION HOLE FILLING IN DIBR-SYNTHESIZED IMAGES
"... Although images as viewed from intermediate virtual view-points can be synthesized using texture and depth maps from nearby camera views via depth-image-based rendering (DIBR), the rendered images contain disocclusion holes— spatial regions that were not visible in the reference views due to foregro ..."
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to foreground object occlusion—that requires proper fill-ing. In this paper, we introduce a new signal prior into the hole filling problem formulation: given disocclusion holes are part of the background and background tends to have low vi-sual saliency, the extrapolated signal into the holes must also
Actions as space-time shapes
- IN ICCV
, 2005
"... Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes induced by the silhouettes in the space-time volume. We adopt a recent approach [14] for analyzing 2D shapes and genera ..."
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Cited by 651 (4 self)
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and generalize it to deal with volumetric space-time action shapes. Our method utilizes properties of the solution to the Poisson equation to extract space-time features such as local space-time saliency, action dynamics, shape structure and orientation. We show that these features are useful for action
Saliency, Scale and Image Description
, 2001
"... Many computer vision problems can be considered to consist of two main tasks: the extraction of image content descriptions and their subsequent matching. The appropriate choice of type and level of description is of course task dependent, yet it is generally accepted that the low-level or so called ..."
Abstract
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Cited by 239 (0 self)
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called early vision layers in the Human Visual System are context independent. This paper concentrates on the use of low-level approaches for solving computer vision problems and discusses three inter-related aspects of this: saliency; scale selection and content description. In contrast to many previous
Predictive Distractor Context Facilitates Attentional Selection of High, but not Intermediate and Low, Salience Targets
"... Abstract: It is well established that we can focally attend to a specific region in visual space without shifting our eyes, so as to extract action-relevant sensory information from covertly attended locations. The underlying mechanisms that determine how fast we engage our attentional spotlight in ..."
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to lower similarity to the target. Critically, for low but not intermediate and high distractortarget similarity, these context-driven effects were cortically and behaviorally amplified when participants could reliably predict the type of distractors. This interactive pattern demonstrates that search
INITIAL ROTOR POSITION ESTIMATION FOR LOW SALIENCY INTERIOR PERMANENT-MAGNET SYNCHRONOUS MOTOR DRIVES
, 2010
"... ©COPYRIGHT by ..."
Seam carving for content-aware image resizing
- ACM Trans. Graph
, 2007
"... Figure 1: A seam is a connected path of low energy pixels in an image. On the left is the original image with one horizontal and one vertical seam. In the middle the energy function used in this example is shown (the magnitude of the gradient), along with the vertical and horizontal path maps used t ..."
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Cited by 323 (11 self)
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Figure 1: A seam is a connected path of low energy pixels in an image. On the left is the original image with one horizontal and one vertical seam. In the middle the energy function used in this example is shown (the magnitude of the gradient), along with the vertical and horizontal path maps used
Mesh Saliency
"... Research over the last decade has built a solid mathematical foundation for representation and analysis of 3D meshes in graphics and geometric modeling. Much of this work however does not explicitly incorporate models of low-level human visual attention. In this paper we introduce the idea of mesh s ..."
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saliency as a measure of regional importance for graphics meshes. Our notion of saliency is inspired by low-level human visual system cues. We define mesh saliency in a scale-dependent manner using a center-surround operator on Gaussian-weighted mean curvatures. We observe that such a definition of mesh
Saliency in crowd
- In ECCV
, 2014
"... Abstract. Theories and models on saliency that predict where people look at focus on regular-density scenes. A crowded scene is characterized by the co-occurrence of a relatively large number of regions/objects that would have stood out if in a regular scene, and what drives attention in crowd can b ..."
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Cited by 2 (2 self)
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the crowding information is proposed, and multiple kernel learning (MKL) is used as a core computational module to integrate various features at both low- and high-levels. Extensive experiments demonstrate the superior performance of the proposed model compared with the state-of-the-art in saliency computation.
Learning to Predict Where Humans Look
"... For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable option, models of saliency can be used to predict fixation locations. Most saliency approaches are based on bottom-up com ..."
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Cited by 211 (4 self)
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-up computation that does not consider top-down image semantics and often does not match actual eye movements. To address this problem, we collected eye tracking data of 15 viewers on 1003 images and use this database as training and testing examples to learn a model of saliency based on low, middle and high
Differential Cue Salience, Blocking and Learned Inattention
"... A classic blocking design is modified by varying the relative salience of the blocked and the blocking cue. It is found that, in accordance with the learned inattention theory of blocking, the amount of blocking is diminished when the blocked cue is more salient than the blocking cue. In addition, w ..."
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Cited by 1 (1 self)
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, when studying the patterns of answers about the control cues, it is found that low salience cues were preferred over high salience cues in the case when the blocking cue was also of low salience. This novel result may be explained by the simultaneous blocking of two separate dimensional values
Results 1 - 10
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512
