A survey of color image watermarking: State-of-the-art and research directions

DK Mahto, AK Singh - Computers & Electrical Engineering, 2021 - Elsevier
Color image watermarking has achieved great success in various applications such as copy
protection, content authentication, tamper detection and recovery, etc. The present paper …

A review of deep learning for video captioning

M Abdar, M Kollati, S Kuraparthi… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Video captioning (VC) is a fast-moving, cross-disciplinary area of research that comprises
contributions from domains such as computer vision, natural language processing …

YOLOv4_Drone: UAV image target detection based on an improved YOLOv4 algorithm

L Tan, X Lv, X Lian, G Wang - Computers & Electrical Engineering, 2021 - Elsevier
Advanced communications and networks have greatly improved the user experience, and
unmanned aerial vehicle (UAV) are an important technology that supports people's daily life …

An object tracking framework with recapture based on correlation filters and Siamese networks

J Zhang, J Sun, J Wang, Z Li, X Chen - Computers & Electrical Engineering, 2022 - Elsevier
Recently, both correlation filters-based and Siamese-based trackers have achieved great
progress in the field of visual object tracking. Whereas, some trackers perform not that well …

A context hierarchical integrated network for medical image segmentation

X **e, X Pan, W Zhang, J An - Computers and Electrical Engineering, 2022 - Elsevier
Arising from low contrast, high similarity, and different scales between diverse tissues in 2D
medical images, it is challenging to accurately segment the regions of interest. To address …

Mci-net: multi-scale context integrated network for liver ct image segmentation

X **e, X Pan, F Shao, W Zhang, J An - Computers and Electrical …, 2022 - Elsevier
Owing to the various object scales and high similarity with the surrounding organs (eg,
kidney, stomach, and spleen), it is difficult to accurately segment the liver region from the …

Deep hierarchical LSTM networks with attention for video summarization

J Lin, S Zhong, A Fares - Computers & Electrical Engineering, 2022 - Elsevier
This paper studies the video summarization task by formulating it as a sequential decision-
making process, in which the input is a sequence of video frames and the output is a subset …

Spatial-spectral feature extraction of hyperspectral images for wheat seed identification

S **, W Zhang, P Yang, Y Zheng, J An, Z Zhang… - Computers and …, 2022 - Elsevier
Hyperspectral images of wheat can identify seeds quickly, accurately, and nondestructively.
However, most of the existing hyperspectral classification methods only use spectral …

Deep learning approaches based on transformer architectures for image captioning tasks

R Castro, I Pineda, W Lim… - IEEE Access, 2022 - ieeexplore.ieee.org
This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks
within the computer vision research area. We study the impact that different hyperparemeter …

Intrusion detection model using gene expression programming to optimize parameters of convolutional neural network for energy internet

D Song, X Yuan, Q Li, J Zhang, M Sun, X Fu… - Applied Soft …, 2023 - Elsevier
The open, interconnected, and shared operational characteristics of the energy Internet
introduce more sophisticated cybersecurity attacks. How to accurately detect these cyber …