Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 166 for “"Saliency"”.
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Computational auditory saliency
… focus here will be on investigating the role of saliency in the auditory attentional process. In order to identify these salient sounds, we have developed a computational auditory saliency model inspired by our understanding of the human auditory system and auditory perception. By identifying …
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Statistical Saliency Model incorporating motion saliency and an application to driving
This thesis extends the Statistical Saliency Model to include motion as a feature, enabling it to compute the saliency of video sequences more effectively. The motion feature is represented as optical flow and incorporated into the model. The model is validated by testing its capability in …
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Predicting saliency by learning inpainting error
… In this thesis, we consider the problem of saliency prediction insofar as this can benefit from learning image inpainting error. We address this problem by presenting a novel approach to predict saliency maps. The first model learns which parts of the image are most difficult to predict by …
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Visual saliency computation for image analysis
Visual saliency computation is about detecting and understanding salient regions and elements in a visual scene. Algorithms for visual saliency computation can give clues to where people will look in images, what objects are visually prominent in a scene, etc. Such algorithms could be useful in a …
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Saliency in audio and visual signals
This dissertation studies saliency and its applications in audio and visual signals. For each portion of the signal, its saliency means the likelihood of attracting bottom-up attention in the perception process. In computer vision, image saliency is described by local contrasts of features. Each …
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Learning-based saliency-aware compression framework
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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A computational visual saliency model for images.
… relevant regions of interest in a scene. Visual saliency characterises some parts of a scene that appears to stand out from its neighbouring regions and attracts the human gaze. Modelling saliency-based visual attention has been an active research area in recent years. Saliency models have found …
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Random center- surround approaches for modeling visual saliency
Computational models of visual saliency have been used to detect salient regions and simulate human eye-gaze on images and videos. A majority of the existing approaches are highly parametric in nature. They are specialized to predict either eye-gaze or detect salient regions, but not both …
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Saliency Prediction in the Data Visualization Design Process
L'abstract è presente nell'allegato / the abstract is in the attachment
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Saliency detection via divergence analysis: a unified perspective
… We present a unified view of various bottom-up saliency detection algorithms. As these methods were proposed from intuition and principles inspired from psychophysical studies of human vision, the theoretical relations among them are unclear. In this thesis, we provide such a bridge. The …
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A Test Suite for Saliency Method Evaluation Metrics
… designed to evaluate the input sensitivity of saliency methods, a crucial factor when interpreting machine learning models, particularly in high-stakes environments. Saliency methods, by highlighting essential input features inf luencing model decisions, serve as a key tool for understanding …
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Visual Saliency Detection and its Application to Image Retrieval
… work. In the following two novel approaches to saliency detection are presented. In comparison to previous works in this field the proposed approaches tackles saliency estimation on the object-wise level. In addition, one of the proposed approach solves saliency detection problem through …
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Visualization for Solving Non-image Problems and Saliency Mapping
… part of this thesis reports the results of Saliency Mapping with the CPC-R algorithm. The saliency models take an image and generate a saliency map that predicts which regions of the image will most likely draw a human viewer’s attention. The saliency mappings with the CPC-R are explored, …
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Saliency-aware viewport-guidance-enabled 360-video streaming system
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01
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Using the Earth Mover's Distance for perceptually meaningful visual saliency
Visual saliency is one of the mechanisms that guide our visual attention, or where we look. This topic has seen a lot of research in recent years, starting with biologicallyinspired models, followed by the information-theoretic and recently statistical-based models. This dissertation looks at a …
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Imperfect Diagnostic Automation: How Adjusting Bias and Saliency Affects Operator Trust
We report three experiments that examine the effects of imperfect automation on operator trust and dependence. By manipulating the automation bias to either present false alarms or misses, the data reveal patterns of operator behavior consistent with a multiple-process cognitive model that allows …
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Saliency Mapping in Convolutional Neural Networks to Determine Brain Age Trajectories
… Relevance Propagation (LRP) and DeepLIFT saliency mapping techniques, analyses were performed on the trained model to determine the most revealing structures over the course of brain ageing for the network, and compare these between the saliency mapping techniques. This work shows the …
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Job satisfaction among blue-collar women: a saliency criterion for measurement
… component of attitudes. The notion of a saliency criterion in the evaluation of the cognitive component of job satisfaction is suggested as such a technique for achieving more accurate assessment. The concept of saliency itself as well as the notion of a saliency criterion is explored …
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Image Co-saliency Detection and Co-segmentation from The Perspective of Commonalities
Image co-saliency detection and image co-segmentation aim to identify the common salient objects and extract them in a group of images. Image co-saliency detection and image co-segmentation are important for many content-based applications such as image retrieval, image editing, and content aware …
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