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 7 of 7 for “"Saliency model"”.
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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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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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Real-time statistical saliency using high throughput circuit design and its applications in psychophysical study
… images to predict search time and statistical saliency in a way that models the human visual system. The statistical saliency model helps explain how visual search and attention systems direct eye movement when presented with an image. The statistical saliency of a target object is defined as …
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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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Affective Analysis of Abstract Paintings Using Statistical Analysis and Art Theory
… look at abstract paintings. We apply a bottom-up saliency model to compare with eye-tracking in order to predict the emotional salient regions of abstract paintings. Finally, we use the metadata associated to the paintings (e.g., title, description and/or artist statement) and correlate it with …
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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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A computational model of visual attention.
… information from a scene. Visual attention models are computational or mathematical models developed to predict this information. The performance of the state-of-the-art visual attention models is limited in terms of prediction accuracy and computational complexity. In spite of significant …