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Driver intention prediction based on multi-dimensional cross-modality information interaction Multimedia Syst. (IF 3.9) Pub Date : 2024-03-15 Mengfan Xue, Zengkui Xu, Shaohua Qiao, Jiannan Zheng, Tao Li, Yuerong Wang, Dongliang Peng
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Zero-shot image classification via Visual–Semantic Feature Decoupling Multimedia Syst. (IF 3.9) Pub Date : 2024-03-15 Xin Sun, Yu Tian, Haojie Li
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Target aware network architecture search and compression for efficient knowledge transfer Multimedia Syst. (IF 3.9) Pub Date : 2024-03-14 S. H. Shabbeer Basha, Debapriya Tula, Sravan Kumar Vinakota, Shiv Ram Dubey
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An improved non-local means algorithm for CT image denoising Multimedia Syst. (IF 3.9) Pub Date : 2024-03-13 Huihua Kong, Wenbo Gao, Xiaoshuang Du, Yunxia Di
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Unsupervised domain adaptation of dynamic extension networks based on class decision boundaries Multimedia Syst. (IF 3.9) Pub Date : 2024-03-13
Abstract In response to the problems of inaccurate feature alignment, loss of source domain information, imbalanced sample distribution, and biased class decision boundaries in traditional unsupervised domain adaptation methods, this paper proposes a class decision boundary-based dynamic expansion network unsupervised domain adaptation method called CDE-Net. Specifically, our method dynamically expands
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MadFormer: multi-attention-driven image super-resolution method based on Transformer Multimedia Syst. (IF 3.9) Pub Date : 2024-03-12 Beibei Liu, Jing Sun, Bing Zhu, Ting Li, Fuming Sun
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Scalable image coding with enhancement features for human and machine Multimedia Syst. (IF 3.9) Pub Date : 2024-03-10 Ying Wu, Ping An, Chao Yang, XinPeng Huang
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Assessing the adoption of the Yavuz Battleship application in the mixed reality environment using the technology acceptance model Multimedia Syst. (IF 3.9) Pub Date : 2024-03-08
Abstract This study concentrates on developing a mixed reality (MR) app for the historic ship Yavuz Battleship, also known as “SMS Goeben,” and assessing its acceptance using the technology acceptance model (TAM). Mixed reality blends real and virtual environments to create novel spatial experiences, bridging the gap between the virtual and real worlds. This technology enables designers to craft immersive
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Indirect: invertible and discrete noisy image rescaling with enhancement from case-dependent textures Multimedia Syst. (IF 3.9) Pub Date : 2024-03-07 Huu-Phu Do, Yan-An Chen, Nhat-Tuong Do-Tran, Kai-Lung Hua, Wen-Hsiao Peng, Ching-Chun Huang
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Reducing blind spots in esophagogastroduodenoscopy examinations using a novel deep learning model Multimedia Syst. (IF 3.9) Pub Date : 2024-03-04 Guangquan Wan, Guanghui Lian, Lan Yao
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FMR-Net: a fast multi-scale residual network for low-light image enhancement Multimedia Syst. (IF 3.9) Pub Date : 2024-03-01
Abstract The low-light image enhancement algorithm aims to solve the problem of poor contrast and low brightness of images in low-light environments. Although many image enhancement algorithms have been proposed, they still face the problems of loss of significant features in the enhanced image, inadequate brightness improvement, and a large number of algorithm-specific parameters. To solve the above
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Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis Multimedia Syst. (IF 3.9) Pub Date : 2024-02-29 Renshu Gu, Yueyu Zhang, Lisha Wang, Dechao Chen, Yaqi Wang, Ruiquan Ge, Zicheng Jiao, Juan Ye, Gangyong Jia, Linyan Wang
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Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies Multimedia Syst. (IF 3.9) Pub Date : 2024-02-26 Helena R. Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Gabriele Hahn, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça
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Same-clothes person re-identification with dual-stream network Multimedia Syst. (IF 3.9) Pub Date : 2024-02-26 Zhiyue Wu, Zirui Hu, Jianwei Ding
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GHCL: Gaussian heuristic curriculum learning for Brain CT report generation Multimedia Syst. (IF 3.9) Pub Date : 2024-02-23 Qingya Shen, Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Ying Liu, Huimin Xu
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Cascaded refinement residual attention network for image outpainting Multimedia Syst. (IF 3.9) Pub Date : 2024-02-22 Yizhong Yang, Shanshan Yao, Changjiang Liu, Zhang Zhang, Guangjun Xie
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A dual-branch hybrid network of CNN and transformer with adaptive keyframe scheduling for video semantic segmentation Multimedia Syst. (IF 3.9) Pub Date : 2024-02-21 Zhixue Liang, Wenyong Dong, Bo Zhang
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Pancreas segmentation in CT based on RC-3DUNet with SOM Multimedia Syst. (IF 3.9) Pub Date : 2024-02-19 Zhe Liu, Siqi Ma, Yi Liu, Wenqiang Wang, Yuqing Song, Jun Su, Yangyang Tang, Aihong Yu, Xuesheng Liu
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RKSeg+: make full use of Runge–Kutta methods in medical image segmentation Multimedia Syst. (IF 3.9) Pub Date : 2024-02-19 Mai Zhu, Chong Fu, Xingwei Wang
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Integrating user-side information into matrix factorization to address data sparsity of collaborative filtering Multimedia Syst. (IF 3.9) Pub Date : 2024-02-18 Gopal Behera, Neeta Nain, Ravindra Kumar Soni
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Illustrated character face super-deformation via unsupervised image-to-image translation Multimedia Syst. (IF 3.9) Pub Date : 2024-02-15
Abstract Super-deformation in character design refers to a simplified modeling of character illustrations that are drawn in detail. Such super-deformation requires both texture and geometrical translation. However, directly adopting conventional image-to-image translation methods for super-deformation is challenging as these methods use a pixel-wise loss which makes the translated images highly dependent
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Towards domain adaptation underwater image enhancement and restoration Multimedia Syst. (IF 3.9) Pub Date : 2024-02-15 Chao Yang, Longyu Jiang, Zhicheng Li, Jianxing Huang
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Optimization of segmentation model based on maximization information fusion and its application in nuclear image analysis Multimedia Syst. (IF 3.9) Pub Date : 2024-02-05 Feiyan Xiong, Yun Wei
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Attribute- and attention-guided few-shot classification Multimedia Syst. (IF 3.9) Pub Date : 2024-02-05
Abstract The field of image classification faces significant challenges due to the scarcity of target samples, leading to model overfitting and difficult training. To address these issues, few-shot learning has emerged as a promising approach. However, current methods do not fully utilize the correlations among samples and external semantic information, resulting in poor recognition accuracy. To overcome
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Weighted sparse gradient reconstruction model with a robust fidelity for edge-aware image smoothing Multimedia Syst. (IF 3.9) Pub Date : 2024-02-05
Abstract Smoothing out image details while preserving the salient edges is of significance to the field of computational photography. In this paper, we propose a novel optimization model for edge-aware image smoothing, which consists of a regularization term and a fidelity term. The regularization term is based on the idea of weighted sparse gradient reconstruction, which ensures edge-awareness. The
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MVIndEmo: a dataset for micro video public-induced emotion prediction on social media Multimedia Syst. (IF 3.9) Pub Date : 2024-02-04
Abstract Distinct from the realm of perceived emotion research, induced emotion pertains to the emotional responses engendered within content consumers. This facet has garnered considerable attention and finds extensive application in the analysis of public social media. However, the advent of micro videos presents unique challenges when attempting to discern the induced emotional patterns exhibited
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A defensive attention mechanism to detect deepfake content across multiple modalities Multimedia Syst. (IF 3.9) Pub Date : 2024-02-03 S. Asha, P. Vinod, Varun G. Menon
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An insight into topological, machine and Deep Learning-based approaches for influential node identification in social media networks: a systematic review Multimedia Syst. (IF 3.9) Pub Date : 2024-02-03 Yasir Rashid, Javaid Iqbal Bhat
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Ecarnet: enhanced clue-ambiguity reasoning network for multimodal fake news detection Multimedia Syst. (IF 3.9) Pub Date : 2024-02-01 Shannan Zhong, ShuJuan Peng, Xin Liu, Lei Zhu, Xing Xu, Taihao Li
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You watch once more: a more effective CNN architecture for video spatio-temporal action localization Multimedia Syst. (IF 3.9) Pub Date : 2024-01-31 Yefeng Qin, Lei Chen, Xianye Ben, Mingqiang Yang
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Object-based video anomaly detection using multi-attention and adaptive velocity attribute representation learning Multimedia Syst. (IF 3.9) Pub Date : 2024-01-31 Xiaopeng Ren, Huifen Xia, Yongzhao Zhan
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A multi-layer mesh synchronized reversible data hiding algorithm on the 3D model Multimedia Syst. (IF 3.9) Pub Date : 2024-01-31 Guoyou Zhang, Zheyu Sui, Chaoli Sun, Qi Liu, Xiaoxue Cheng
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An entropy-weighted local intensity clustering-based model for segmenting intensity inhomogeneous images Multimedia Syst. (IF 3.9) Pub Date : 2024-01-29 Wei-Ting Liao, Suh-Yuh Yang, Cheng-Shu You
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Depth alignment interaction network for camouflaged object detection Multimedia Syst. (IF 3.9) Pub Date : 2024-01-29 Hongbo Bi, Yuyu Tong, Jiayuan Zhang, Cong Zhang, Jinghui Tong, Wei Jin
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GVA: guided visual attention approach for automatic image caption generation Multimedia Syst. (IF 3.9) Pub Date : 2024-01-29 Md. Bipul Hossen, Zhongfu Ye, Amr Abdussalam, Md. Imran Hossain
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BENet: bi-directional enhanced network for image captioning Multimedia Syst. (IF 3.9) Pub Date : 2024-01-29 Peixin Yan, Zuoyong Li, Rong Hu, Xinrong Cao
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Adequately hierarchical patterns based on pairwise regions Multimedia Syst. (IF 3.9) Pub Date : 2024-01-28 Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frédéric Bouchara
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Real-walk modelling: deep learning model for user mobility in virtual reality Multimedia Syst. (IF 3.9) Pub Date : 2024-01-28 Murtada Dohan, Mu Mu, Suraj Ajit, Gary Hill
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An ensemble pruning method considering classifiers’ interaction based on information theory for facial expression recognition Multimedia Syst. (IF 3.9) Pub Date : 2024-01-28 Yiqing Wu, Danyang Li, Xing Chen, Yumei Tang, Shisong Huang
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Bag of states: a non-sequential approach to video-based engagement measurement Multimedia Syst. (IF 3.9) Pub Date : 2024-01-28 Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan
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STSD: spatial–temporal semantic decomposition transformer for skeleton-based action recognition Multimedia Syst. (IF 3.9) Pub Date : 2024-01-26 Hu Cui, Tessai Hayama
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Generalizing sentence-level lipreading to unseen speakers: a two-stream end-to-end approach Multimedia Syst. (IF 3.9) Pub Date : 2024-01-25 Yu Li, Feng Xue, Lin Wu, Yincen Xie, Shujie Li
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Weighted bilinear factorization of low-rank matrix with structural smoothness for image denoising Multimedia Syst. (IF 3.9) Pub Date : 2024-01-25 Wanhong Wu, Zikai Wu, Hongjuan Zhang
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A comparative study of color quantization methods using various image quality assessment indices Multimedia Syst. (IF 3.9) Pub Date : 2024-01-25 María-Luisa Pérez-Delgado, M. Emre Celebi
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Lightweight image super-resolution based on stepwise feedback mechanism and multi-feature maps fusion Multimedia Syst. (IF 3.9) Pub Date : 2024-01-24 Xu Yao, Houjin Chen, Yanfeng Li, Jia Sun, Jiayu Wei
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Seismic data compression: an overview Multimedia Syst. (IF 3.9) Pub Date : 2024-01-23
Abstract Seismic Data (SD) have been for several decades used as one of the main inspection and exploration tools in various fields, particularly petroleum industry and geoscience. However, seismic datasets are huge and involve many terabytes, whose handling and storage are expensive for industry activities and computers capabilities. Driven by the large volume of SD, several compression methods have
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MCLEMCD: multimodal collaborative learning encoder for enhanced music classification from dances Multimedia Syst. (IF 3.9) Pub Date : 2024-01-22 Wenjuan Gong, Qingshuang Yu, Haoran Sun, Wendong Huang, Peng Cheng, Jordi Gonzàlez
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Video–text retrieval via multi-modal masked transformer and adaptive attribute-aware graph convolutional network Multimedia Syst. (IF 3.9) Pub Date : 2024-01-22 Gang Lv, Yining Sun, Fudong Nian
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HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds Multimedia Syst. (IF 3.9) Pub Date : 2024-01-22 Sujit Kumar Das, Suyel Namasudra, Arun Kumar Sangaiah
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AI and data-driven media analysis of TV content for optimised digital content marketing Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Lyndon Nixon, Konstantinos Apostolidis, Evlampios Apostolidis, Damianos Galanopoulos, Vasileios Mezaris, Basil Philipp, Rasa Bocyte
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Detecting facial manipulated images via one-class domain generalization Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19
Abstract Nowadays, numerous synthesized images and videos generated by facial manipulated techniques have become an emerging problem, which promotes facial manipulation detection to be a significant topic. Much concern about the use of synthesized facial digital contents in society is rising due to their deceptive nature and widespread. To detect such manipulated facial digital contents, many methods
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A novel hashing-inverted index for secure content-based retrieval with massive encrypted speeches Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Yingjie Hu, Qiuyu Zhang, Qiwen Zhang, Yugui Jia
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Underwater image enhancement method based on a cross attention mechanism Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Sunhan Xu, Jinhua Wang, Ning He, Xin Hu, Fengxi Sun
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NDAM-YOLOseg: a real-time instance segmentation model based on multi-head attention mechanism Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Chengang Dong, Yuhao Tang, Liyan Zhang
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Coarse registration of point cloud base on deep local extremum detection and attentive description Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Haotian Lu, Jianhui Nie
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Enhanced 3D reconstruction with all-neighbor-first philosophy and Ricci flow-based mesh smoothing approach Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Mriganka Sarmah, Arambam Neelima
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Event log anomaly detection method based on auto-encoder and control flow Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Daoyu Kan, Xianwen Fang
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Locally controllable network based on visual–linguistic relation alignment for text-to-image generation Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Zaike Li, Li Liu, Huaxiang Zhang, Dongmei Liu, Yu Song, Boqun Li
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One-step graph-based incomplete multi-view clustering Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19
Abstract Existing graph-based incomplete multi-view clustering methods mainly adopt the three-step strategy, i.e., graph completion, graph fusion (consensus representation learning) and subsequent k-means clustering. Such three-step schemes inevitably seek sub-optimal clustering results due to information loss. Besides, existing methods for incomplete multi-view clustering tasks focus on inferring
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Generalizing to unseen domains via PatchMix Multimedia Syst. (IF 3.9) Pub Date : 2024-01-19 Juncheng Yang, Zuchao Li, Chao Li, Shuai Xie, Wei Yu, Shijun Li