74 citations · 152 across the 16 of their papers we have counts for
17 papers
A novel attention model for salient structure detection in seismic volumes
Muhammad Amir Shafiq, Zhiling Long, Haibin Di +1
A new approach to seismic interpretation is proposed to leverage visual perception and human visual system modeling. Specifically, a saliency detection algorithm based on a novel a…
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset
Yuting Hu, Zhiling Long, Anirudha Sundaresan +4
Tactile sensing or fabric hand plays a critical role in an individual's decision to buy a certain fabric from the range of available fabrics for a desired application. Therefore, t…
Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks
Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a multi-level texture encoding and representation network (MuLTER) for texture-related applications. Based on a multi-level pooling architecture, the MuLT…
Multiresolution Analysis and Learning for Computational Seismic Interpretation
Motaz Alfarraj, Yazeed Alaudah, Zhiling Long +1
We explore the use of multiresolution analysis techniques as texture attributes for seismic image characterization, especially in representing subsurface structures in large migrat…
Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons
Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi +1
In this paper, we propose a novel approach for saliency detection for seismic applications using 3D-FFT local spectra and multi-dimensional plane projections. We develop a projecti…
Understanding spatial correlation in eye-fixation maps for visual attention in videos
Tariq Alshawi, Zhiling Long, Ghassan AlRegib
In this paper, we present an analysis of recorded eye-fixation data from human subjects viewing video sequences. The purpose is to better understand visual attention for videos. Ut…
Characterization of migrated seismic volumes using texture attributes: a comparative study
Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +5
In this paper, we examine several typical texture attributes developed in the image processing community in recent years with respect to their capability of characterizing a migrat…
SalSi: A new seismic attribute for salt dome detection
Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long +1
In this paper, we propose a saliency-based attribute, SalSi, to detect salt dome bodies within seismic volumes. SalSi is based on the saliency theory and modeling of the human visi…
Tensor-based subspace learning for tracking salt-dome boundaries
Zhen Wang, Zhiling Long, Ghassan AlRegib
The exploration of petroleum reservoirs has a close relationship with the identification of salt domes. To efficiently interpret salt-dome structures, in this paper, we propose a m…
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection
Tariq Alshawi, Zhiling Long, Ghassan AlRegib
In this paper, we address the problem of quantifying reliability of computational saliency for videos, which can be used to improve saliency-based video processing and enable more…
The role of visual saliency in the automation of seismic interpretation
Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long +1
In this paper, we propose a workflow based on SalSi for the detection and delineation of geological structures such as salt domes. SalSi is a seismic attribute designed based on th…
Noise-robust detection and tracking of salt domes in postmigrated volumes using texture, tensors, and subspace learning
Zhen Wang, Tamir Hegazy, Zhiling Long +1
The identification of salt dome boundaries in migrated seismic data volumes is important for locating petroleum reservoirs. The presence of noise in the data makes computer-aided s…
Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
G. AlRegib, M. Deriche, Z. Long +5
Understanding Earth's subsurface structures has been and continues to be an essential component of various applications such as environmental monitoring, carbon sequestration, and…
A comparative study of texture attributes for characterizing subsurface structures in seismic volumes
Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +8
In this paper, we explore how to computationally characterize subsurface geological structures presented in seismic volumes using texture attributes. For this purpose, we conduct a…
Completed Local Derivative Pattern for Rotation Invariant Texture Classification
Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a new texture descriptor, completed local derivative pattern (CLDP). In contrast to completed local binary pattern (CLBP), which involves only local diffe…
Scale Selective Extended Local Binary Pattern for Texture Classification
Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a new texture descriptor, scale selective extended local binary pattern (SSELBP), to characterize texture images with scale variations. We first utilize m…
A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting
Yuting Hu, Zhiling Long, Ghassan AlRegib
In garment manufacturing, an automatic sewing machine is desirable to reduce cost. To accomplish this, a high speed vision system is required to track fabric motions and recognize…