Article
Computer Science, Software Engineering
Ankit Garg, Anuj Kumar Singh
Summary: This paper presents an improved technique for image retargeting, which uses the gradient energy map generation method to safeguard the prominent regions of the image. The efficiency of the technique is validated through objective and subjective image quality assessment.
Article
Computer Science, Information Systems
Kun Zeng, Jiangchuan Hu, Yongyi Gong, Kanoksak Wattanachote, Runpeng Yu, Xiaonan Luo
Summary: Two seam coupling strategies, real mapping and virtual mapping, were proposed for vertical retargeting to address the problems of multiple assignments and missing assignments. Experimental results demonstrated that the method overcomes the limitations of vertical retargeting and effectively preserves geometric consistency.
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
Summary: This paper proposes a CNN-based approach for classifying seam-carving forgery, with specialized network blocks designed to capture local artifacts caused by seam carving. Experimental results demonstrate that the method has good classification performance and robustness.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2021)
Article
Computer Science, Software Engineering
Sean Flynn, David Hart, Bryan Morse, Seth Holladay, Parris Egbert
Summary: This paper introduces a novel method for intelligently resizing a wide range of volumetric data, including fluids, allowing for more versatile post-processing. Additionally, a faster seam computation method is presented to improve production workflow viability.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Information Systems
Hai Su, Zigui Ye, Yaping Liu, SongSen Yu
Summary: Seam carving algorithm is widely used for content-based image scaling. We propose a dynamic energy regulation method to improve the effect of seam carving by simulating the energy change in each carving. Our method adjusts the energy value of each pixel after each carving to simulate the extra energy introduced by carving.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Ankit Garg, Anuj Kumar Singh
Summary: This paper introduces the seam diversion-based image retargeting (SDIR) algorithm and analyzes its performance through two experiments. Experiment 1 analyzes the impact of different edge detection operators on the algorithm, while Experiment 2 evaluates the performance based on the visual quality and quality of importance maps. The results show that the SDIR algorithm performs well in minimizing structural deformations on prominent objects.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Zehra Karapinar Senturk, Devrim Akgun
Summary: The paper introduces a new blind detection method based on seam carving for identifying retargeted images, which shows improved accuracies compared to traditional solutions through experiments.
ELEKTRONIKA IR ELEKTROTECHNIKA
(2021)
Article
Computer Science, Information Systems
Ankit Garg, Anand Nayyar, Anuj Kumar Singh
Summary: This paper proposes an improved seam carving technique to overcome the limitations of traditional techniques by restricting the intersection of optimal seam points on line structures. Through subjective and objective evaluations, the effectiveness and high similarity of the proposed technique have been demonstrated.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Eduardo Fragoso-Navarro, Kevin Rangel-Espinoza, Mariko Nakano-Miyatake, Manuel Cedillo-Hernandez, Hector Perez-Meana
Summary: Visible watermarking provides copyright protection to the naked eye by superimposing visible patterns on the host image. This paper proposes a watermark design based on modified Seam Carving technique to enhance robustness against various removal attacks, and its effectiveness is verified through experimental results.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Jila Ayubi, Mehdi Chehel Amirani, Morteza Valizadeh
Summary: This paper introduces a new method based on information entropy to extract the importance map and proposes a new method for selecting the most optimal seam based on the calculation of the Lyapunov exponents. Through simulation on the MSRA and RetargetMe datasets, it is demonstrated that the proposed algorithm performs better than the classical seam-carving and generalized seam-carving algorithms.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Cui Jia, Song Lei, Lu Hongju, Tang Mingxi, Qi Meng
Summary: Image retargeting technologies aim to preserve important information and reduce edge distortion. The JND algorithm is proposed to detect and pass distortion information to reduce retargeting distortions, offering promising results compared to other approaches at 'Retarget Me' database.
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Brian Crites, Cody Falzone, Tristan Lopez, Karen Kong, Philip Brisk
Summary: Seam carving is an algorithm for image size reduction that removes least important paths from images iteratively. This article applies seam carving to flow-based microfluidic chips and presents three variants, finding that nonrectilinear carving yields the best results.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Shoma Deguchi, Yuta Muraki, Naoyuki Awano, Kenichi Kobori
Summary: With the increasing demand for resizing methods due to the spread of devices with different screen sizes, seam carving (SC) has been introduced as a method to resize images without losing their impression. However, SC for video images faces the challenge of shifting the most impressive areas due to variations in seams from frame to frame. Previous methods to solve this problem require significant processing time. The proposed method addresses this issue by utilizing area segmentation and seam reuse, resulting in reduced misalignment and processing time for SC.
INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY, IWAIT 2023
(2023)
Article
Computer Science, Cybernetics
Ahmad Absetan, Abdolhossein Fathi
Summary: This paper proposes a new method for evaluating the quality of retargeted images. By training a convolutional neural network on different image retargeting methods, the method utilizes deep learning to identify important regions and extract measures for assessing geometric changes, block line bending, and information loss. The proposed method demonstrates excellent performance and reliability compared to existing methods, as shown by tests on known databases.
CYBERNETICS AND SYSTEMS
(2023)
Article
Computer Science, Information Systems
I. Wayan Agus Surya Darma, Nanik Suciati, Daniel Siahaan
Summary: The recognition of Balinese carving motifs is challenging due to the variation and interrelation of the motifs as well as the scarcity of related data. The proposed GFF-CARVING method combines graph and image features through feature fusion, achieving a high accuracy in recognizing Balinese carving motifs.
Article
Computer Science, Artificial Intelligence
Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi, Ali Emami
EXPERT SYSTEMS WITH APPLICATIONS
(2020)
Article
Computer Science, Information Systems
Hamidreza Zarrabi, Ali Emami, Pejman Khadivi, Nader Karimi, Shadrokh Samavi
MULTIMEDIA TOOLS AND APPLICATIONS
(2020)
Article
Engineering, Biomedical
M. Hajabdollahi, R. Esfandiarpoor, P. Khadivi, S. M. R. Soroushmehr, N. Karimi, S. Samavi
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2020)
Article
Computer Science, Information Systems
Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi
Summary: Image retargeting is a crucial task that requires preserving high-level visual information and low-level features, with different types of images needing different processing methods. The relationship between image retargeting and image saliency detection is significant, with newer approaches considering high-level semantic knowledge. The proposed methods in the study show excellent performance in practice and can be used as a benchmark for further research on retargeting quality assessment.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Biomedical
Zahra Nabizadeh-Shahre-Babak, Nader Karimi, Pejman Khadivi, Roshanak Roshandel, Ali Emami, Shadrokh Samavi
Summary: This paper proposes an approach using the bag of visual words and a neural network classifier to classify X-ray chest images into COVID-19 and non-COVID-19 with high performance. Experimental results show that extracting features with the bag of visual words leads to better classification accuracy compared to state-of-the-art techniques.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Sajjad Abbasi, Mohsen Hajabdollahi, Pejman Khadivi, Nader Karimi, Roshanak Roshandel, Shahram Shirani, Shadrokh Samavi
Summary: Machine Learning and Artificial Intelligence have shown potential as diagnostic tools in the healthcare domain, but their usefulness is hindered by a lack of labeled data. Transfer Learning and Knowledge Distillation are partial solutions to this issue, but still have limitations that need to be considered.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2021)
Article
Computer Science, Information Systems
Maryam Karimi, Mansour Nejati, Pejman Khadivi, Nader Karimi, Shadrokh Samavi
Summary: The study proposed a fast-efficient algorithm for blind quality assessment of stereoscopic images. It utilized supervised dictionary learning to learn discriminative distortion-specific bases from structural features of stereoscopic images. In experiments, the method achieved an overall correlation of 97% with subjective scores on common datasets.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Biomedical
Ghazaleh Ghorbanzadeh, Zahra Nabizadeh, Nader Karimi, Pejman Khadivi, Ali Emami, Shadrokh Samavi
Summary: This article presents a channel selection method combining a sequential search method with a genetic algorithm to improve the performance and efficiency of brain-computer interface systems.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Biomedical
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, Shadrokh Samavi
Summary: This paper presents an approach that simultaneously segments and classifies brain tumors in MRI images using a framework that contains MRI image enhancement and tumor region detection. A network called Multiscale Cascaded Multitask Network is proposed, which is based on a multitask learning approach containing segmentation and classification tasks. The proposed method achieves high accuracy in both segmentation (96.27 and 95.88 for DCS and mean IoU, respectively) and classification (97.988 accuracy).
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Biomedical
Mohammadreza Naderi, Nader Karimi, Ali Emami, Shahram Shirani, Shadrokh Samavi
Summary: This study aims to improve the performance of conditional Generative Adversarial Networks (cGANs) in translating images by learning the target domain distribution from limited data with the help of noise input. The proposed method achieves better model generalization and comparable results compared to state-of-the-art methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Computer Science, Information Systems
Mohammad Reza Naderi, Mohammad Hossein Givkashi, Nader Karimi, Shahram Shirani, Shadrokh Samavi
Summary: This study proposes an image retargeting method that aims to change the size of images while preserving important content and minimizing distortions. By utilizing techniques such as inpainting, seam carving, super-resolution, and optimization, the proposed method demonstrates commendable performance in improving visual quality.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Maedeh Jamali, Nader Karimi, Shadrokh Samavi
Summary: The traditional visual quality evaluation criteria such as PSNR and MSE lack appropriate standards based on the human visual system. A weighted fuzzy-based criterion proposed in this paper aims to find essential parts of an image based on the HVS for more accurate evaluation of image quality. Experimental results demonstrate significant improvements over standard PSNR evaluations.
2021 29TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi, Ali Emami, Shadrokh Samavi
2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Maedeh Jamali, Nader Karimi, Shadrokh Samavi
2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE)
(2020)
Proceedings Paper
Imaging Science & Photographic Technology
Morteza Mousa-Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
(2020)
Article
Engineering, Electrical & Electronic
Xueyu Han, Ishtiaq Rasool Khan, Susanto Rahardja
Summary: This paper proposes a clustering-based TMO method by embedding human visual system models to adapt to different HDR scenes. The method reduces computational complexity using a hierarchical scheme for clustering and enhances local contrast by superimposing details and controlling color saturation by limiting the adaptive saturation parameter. Experimental results show that the proposed method achieves improvements in generating high quality tone-mapped images compared to competing methods.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Zuopeng Zhao, Tianci Zheng, Kai Hao, Junjie Xu, Shuya Cui, Xiaofeng Liu, Guangming Zhao, Jie Zhou, Chen He
Summary: The research team developed a handheld phone detection network called YOLO-PAI, which successfully achieved real-time detection and underwent testing under various conditions. Experimental results show that YOLO-PAI reduces network structure parameters and computational costs while maintaining accuracy, outperforming other popular networks in terms of speed and accuracy.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Vivek Sharma, Ashish Kumar Tripathi, Purva Daga, M. Nidhi, Himanshu Mittal
Summary: In this study, a novel ClGan method is proposed for automated plant disease detection. The method reduces the number of parameters and addresses the issues of vanishing gradients, training instability, and non-convergence by using an encoder-decoder network. Additionally, an improved loss function is introduced to stabilize the learning process and optimize weights effectively. Furthermore, a new plant leaf classification method called ClGanNet is introduced, achieving 99.97% training accuracy and 99.04% testing accuracy using the least number of parameters.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Seongeun Kim, Chang-Ock Lee
Summary: This article introduces a method for segmenting individual teeth in human teeth images by using deep neural networks to obtain pseudo edge-regions and applying active contour models for segmentation.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2024)