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Finding the secret of image saliency in the frequency domain
There are two sides to every story of visual saliency modeling in the frequency domain. On
the one hand, image saliency can be effectively estimated by applying simple operations to …
the one hand, image saliency can be effectively estimated by applying simple operations to …
A data-driven metric for comprehensive evaluation of saliency models
In the past decades, hundreds of saliency models have been proposed for fixation
prediction, along with dozens of evaluation metrics. However, existing metrics, which are …
prediction, along with dozens of evaluation metrics. However, existing metrics, which are …
Method for image processing and video compression with sparse zone salient features
CE Rijnders - US Patent 10,586,312, 2020 - Google Patents
(57) ABSTRACT A method for video compression through image processing and object
detection, based on images or a digital video stream of images, to enhance and isolate …
detection, based on images or a digital video stream of images, to enhance and isolate …
A parallel spatiotemporal saliency and discriminative online learning method for visual target tracking in aerial videos
Visual tracking in aerial videos is a challenging task in computer vision and remote sensing
technologies due to appearance variation difficulties. Appearance variations are caused by …
technologies due to appearance variation difficulties. Appearance variations are caused by …
An efficient visual saliency detection model based on Ripplet transform
Even though there have been great advancements in computer vision tasks, the
development of human visual attention models is still not well investigated. In day-to-day life …
development of human visual attention models is still not well investigated. In day-to-day life …
[PDF][PDF] Scale space reduction with interpolation to speed up visual saliency detection
The scale of salient object in an image is not a known priori, therefore to detect salient
objects accurately multiple scale analysis is used by saliency detection models. However …
objects accurately multiple scale analysis is used by saliency detection models. However …
Method for image processing for content detection with sparse zone salient features
CE Rijnders - US Patent 10,540,537, 2020 - Google Patents
(57) ABSTRACT A method for content detection based on images or a digital video stream of
images, to enhance and isolate frequency domain signals representing content to be …
images, to enhance and isolate frequency domain signals representing content to be …
A Biologically Inspired Appearance Modeling and Sample Feature-based Approach for Visual Target Tracking in Aerial Images
L Pei, X Zhang - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
Visual tracking in uncrewed aerial vehicles is challenging because of the target appearance.
Various research has been fulfilled to overcome appearance variations and unpredictable …
Various research has been fulfilled to overcome appearance variations and unpredictable …
Collaborative multicue fusion using the cross-diffusion process for salient object detection
Salient object detection is very useful in a large variety of image and vision-related
applications. A recent trend in salient object detection is to explore novel top-down visual …
applications. A recent trend in salient object detection is to explore novel top-down visual …
Saliency detection using sparse and nonlinear feature representation
S Anwar, Q Zhao, MF Manzoor… - The Scientific World …, 2014 - Wiley Online Library
An important aspect of visual saliency detection is how features that form an input image are
represented. A popular theory supports sparse feature representation, an image being …
represented. A popular theory supports sparse feature representation, an image being …