Ship detection in optical remote sensing images based on wavelet transform and multi-level false alarm identification

F Xu, J Liu, C Dong, X Wang - Remote Sensing, 2017 - mdpi.com
Ship detection by Unmanned Airborne Vehicles (UAVs) and satellites plays an important
role in a spectrum of related military and civil applications. To improve the detection …

Deep saliency quality assessment network with joint metric

L Tang, Q Wu, W Li, Y Liu - IEEE Access, 2017 - ieeexplore.ieee.org
Saliency detection aims to find the most conspicuous regions in an image, which highly
catches the users' attention. High-quality saliency map plays an important role in boosting …

Comparative study of computational visual attention models on two-dimensional medical images

G Wen, B Rodriguez-Niño, FY Pecen… - Journal of Medical …, 2017 - spiedigitallibrary.org
Computational modeling of visual attention is an active area of research. These models
have been successfully employed in applications such as robotics. However, most …

Salient object detection with semantic priors

TV Nguyen, L Liu - arXiv preprint arXiv:1705.08207, 2017 - arxiv.org
Salient object detection has increasingly become a popular topic in cognitive and
computational sciences, including computer vision and artificial intelligence research. In this …

Combination of saliency histogram equalisation and seam carving for image resizing

HC Hsin - The Journal of Engineering, 2017 - Wiley Online Library
This study presents a novel approach to content‐aware image sizing by combining the
continuous approach using saliency histogram equalisation (SHE) and the discrete …

An efficient visual saliency detection model based on Ripplet transform

AD Andrushia, R Thangarajan - Sādhanā, 2017 - Springer
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 …

An evolutionary learning based fuzzy theoretic approach for salient object detection

A Kapoor, KK Biswas, M Hanmandlu - The Visual Computer, 2017 - Springer
Human attention tends to get focused on the most prominent components of a scene which
are in sharp contrast with the background. These are termed as salient regions. The human …

Learning a time-dependent master saliency map from eye-tracking data in videos

A Coutrot, N Guyader - arXiv preprint arXiv:1702.00714, 2017 - arxiv.org
To predict the most salient regions of complex natural scenes, saliency models commonly
compute several feature maps (contrast, orientation, motion...) and linearly combine them …

Visual saliency detection based on adaptive fusion of color and texture features

T You, Y Tang - 2017 3rd IEEE International Conference on …, 2017 - ieeexplore.ieee.org
Visual saliency detection achieved excellent performance in various fields such as object
detection, image compression, and image retrieval. However, most existing methods for …

Fixation prediction and visual priority maps for biped locomotion

N Anantrasirichai, KAJ Daniels, JF Burn… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
This paper presents an analysis of the low-level features and key spatial points used by
humans during locomotion over diverse types of terrain. Although, a number of methods for …