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IEEE Transactions on Multimedia最新文献

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Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation 学习视觉条件标记，纠正领域偏移，实现完全测试时间适应性
IF 7.3 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-08-14 DOI: 10.1109/tmm.2024.3443633
Yushun Tang, Shuoshuo Chen, Zhehan Kan, Yi Zhang, Qinghai Guo, Zhihai He
{"title":"Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation","authors":"Yushun Tang, Shuoshuo Chen, Zhehan Kan, Yi Zhang, Qinghai Guo, Zhihai He","doi":"10.1109/tmm.2024.3443633","DOIUrl":"https://doi.org/10.1109/tmm.2024.3443633","url":null,"abstract":"","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"16 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Colored Point Cloud Quality Assessment Using Complementary Features in 3D and 2D Spaces 利用三维和二维空间中的互补特征进行彩色点云质量评估
IF 7.3 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-08-14 DOI: 10.1109/tmm.2024.3443634
Mao Cui, Yun Zhang, Chunling Fan, Raouf Hamzaoui, Qinglan Li
{"title":"Colored Point Cloud Quality Assessment Using Complementary Features in 3D and 2D Spaces","authors":"Mao Cui, Yun Zhang, Chunling Fan, Raouf Hamzaoui, Qinglan Li","doi":"10.1109/tmm.2024.3443634","DOIUrl":"https://doi.org/10.1109/tmm.2024.3443634","url":null,"abstract":"","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"112 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian Uncertainty Calibration for Federated Time Series Analysis 联合时间序列分析的贝叶斯不确定性校准
IF 7.3 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-08-14 DOI: 10.1109/tmm.2024.3443627
Chao Cai, Weide Liu, Xue Xia, Zhenghua Chen, Yuming Fang
{"title":"Bayesian Uncertainty Calibration for Federated Time Series Analysis","authors":"Chao Cai, Weide Liu, Xue Xia, Zhenghua Chen, Yuming Fang","doi":"10.1109/tmm.2024.3443627","DOIUrl":"https://doi.org/10.1109/tmm.2024.3443627","url":null,"abstract":"","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"60 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Phase-shifted tACS can modulate cortical alpha waves in human subjects. 相移 tACS 可以调节人体皮层阿尔法波。
IF 3.1 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-08-01 Epub Date: 2023-08-29 DOI: 10.1007/s11571-023-09997-1
Alexandre Aksenov, Malo Renaud-D'Ambra, Vitaly Volpert, Anne Beuter
{"title":"Phase-shifted tACS can modulate cortical alpha waves in human subjects.","authors":"Alexandre Aksenov, Malo Renaud-D'Ambra, Vitaly Volpert, Anne Beuter","doi":"10.1007/s11571-023-09997-1","DOIUrl":"10.1007/s11571-023-09997-1","url":null,"abstract":"<p><p>In the present study, we investigated traveling waves induced by transcranial alternating current stimulation in the alpha frequency band of healthy subjects. Electroencephalographic data were recorded in 12 healthy subjects before, during, and after phase-shifted stimulation with a device combining both electroencephalographic and stimulation capacities. In addition, we analyzed the results of numerical simulations and compared them to the results of identical analysis on real EEG data. The results of numerical simulations indicate that imposed transcranial alternating current stimulation induces a rotating electric field. The direction of waves induced by stimulation was observed more often during at least 30 s after the end of stimulation, demonstrating the presence of aftereffects of the stimulation. Results suggest that the proposed approach could be used to modulate the interaction between distant areas of the cortex. Non-invasive transcranial alternating current stimulation can be used to facilitate the propagation of circulating waves at a particular frequency and in a controlled direction. The results presented open new opportunities for developing innovative and personalized transcranial alternating current stimulation protocols to treat various neurological disorders.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11571-023-09997-1.</p>","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"24 1","pages":"1575-1592"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11297852/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52867081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding 多模态理解的预训练模型》特约编辑导言
IF 8.4 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-07-31 DOI: 10.1109/TMM.2024.3384680
Wengang Zhou;Jiajun Deng;Niculae Sebe;Qi Tian;Alan L. Yuille;Concetto Spampinato;Zakia Hammal
{"title":"Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding","authors":"Wengang Zhou;Jiajun Deng;Niculae Sebe;Qi Tian;Alan L. Yuille;Concetto Spampinato;Zakia Hammal","doi":"10.1109/TMM.2024.3384680","DOIUrl":"10.1109/TMM.2024.3384680","url":null,"abstract":"In the ever-evolving domain of multimedia, the significance of multi-modality understanding cannot be overstated. As multimedia content becomes increasingly sophisticated and ubiquitous, the ability to effectively combine and analyze the diverse information from different types of data, such as text, audio, image, video and point clouds, will be paramount in pushing the boundaries of what technology can achieve in understanding and interacting with the world around us. Accordingly, multi-modality understanding has attracted a tremendous amount of research, establishing itself as an emerging topic. Pre-trained models, in particular, have revolutionized this field, providing a way to leverage vast amounts of data without task-specific annotation to facilitate various downstream tasks.","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"26 ","pages":"8291-8296"},"PeriodicalIF":8.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10616245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Multi-scale Degradation-Based Attack for Boosting the Adversarial Transferability 基于多尺度退化的自适应攻击，提升逆向可转移性
IF 7.3 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-07-23 DOI: 10.1109/tmm.2024.3428311
Ran Ran, Jiwei Wei, Chaoning Zhang, Guoqing Wang, Yang Yang, Heng Tao Shen
{"title":"Adaptive Multi-scale Degradation-Based Attack for Boosting the Adversarial Transferability","authors":"Ran Ran, Jiwei Wei, Chaoning Zhang, Guoqing Wang, Yang Yang, Heng Tao Shen","doi":"10.1109/tmm.2024.3428311","DOIUrl":"https://doi.org/10.1109/tmm.2024.3428311","url":null,"abstract":"","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"353 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Zero-Shot Video Moment Retrieval With Angular Reconstructive Text Embeddings 利用角度重构文本嵌入检索零镜头视频瞬间
IF 8.4 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-07-19 DOI: 10.1109/TMM.2024.3396272
Xun Jiang;Xing Xu;Zailei Zhou;Yang Yang;Fumin Shen;Heng Tao Shen
{"title":"Zero-Shot Video Moment Retrieval With Angular Reconstructive Text Embeddings","authors":"Xun Jiang;Xing Xu;Zailei Zhou;Yang Yang;Fumin Shen;Heng Tao Shen","doi":"10.1109/TMM.2024.3396272","DOIUrl":"10.1109/TMM.2024.3396272","url":null,"abstract":"Given an untrimmed video and a text query, Video Moment Retrieval (VMR) aims at retrieving a specific moment where the video content is semantically related to the text query. Conventional VMR methods rely on video-text paired data or specific temporal annotations for each target event. However, the subjectivity and time-consuming nature of the labeling process limit their practicality in multimedia applications. To address this issue, recently researchers proposed a Zero-Shot Learning setting for VMR (ZS-VMR) that trains VMR models without manual supervision signals, thereby reducing the data cost. In this paper, we tackle the challenging ZS-VMR problem with \u0000<italic>Angular Reconstructive Text embeddings (ART)</i>\u0000, generalizing the image-text matching pre-trained model CLIP to the VMR task. Specifically, assuming that visual embeddings are close to their semantically related text embeddings in angular space, our ART method generates pseudo-text embeddings of video event proposals through the hypersphere of CLIP. Moreover, to address the temporal nature of videos, we also design local multimodal fusion learning to narrow the gaps between image-text matching and video-text matching. Our experimental results on two widely used VMR benchmarks, Charades-STA and ActivityNet-Captions, show that our method outperforms current state-of-the-art ZS-VMR methods. It also achieves competitive performance compared to recent weakly-supervised VMR methods.","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"26 ","pages":"9657-9670"},"PeriodicalIF":8.4,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141743163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prototype-Decomposed Knowledge Distillation for Learning Generalized Federated Representation 原型分解知识提炼，用于学习广义联合表征
IF 7.3 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-07-16 DOI: 10.1109/tmm.2024.3428352
Aming Wu, Jiaping Yu, Yuxuan Wang, Cheng Deng
{"title":"Prototype-Decomposed Knowledge Distillation for Learning Generalized Federated Representation","authors":"Aming Wu, Jiaping Yu, Yuxuan Wang, Cheng Deng","doi":"10.1109/tmm.2024.3428352","DOIUrl":"https://doi.org/10.1109/tmm.2024.3428352","url":null,"abstract":"","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"74 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141720778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CenterFormer: A Novel Cluster Center Enhanced Transformer for Unconstrained Dental Plaque Segmentation CenterFormer：用于无约束牙菌斑分段的新型集群中心增强变换器
IF 7.3 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-07-16 DOI: 10.1109/tmm.2024.3428349
Wenfeng Song, Xuan Wang, Yuting Guo, Shuai Li, Bin Xia, Aimin Hao
{"title":"CenterFormer: A Novel Cluster Center Enhanced Transformer for Unconstrained Dental Plaque Segmentation","authors":"Wenfeng Song, Xuan Wang, Yuting Guo, Shuai Li, Bin Xia, Aimin Hao","doi":"10.1109/tmm.2024.3428349","DOIUrl":"https://doi.org/10.1109/tmm.2024.3428349","url":null,"abstract":"","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"38 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141720777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hierarchical Aggregated Graph Neural Network for Skeleton-based Action Recognition 基于骨架的动作识别的层次聚合图神经网络
IF 7.3 1区 计算机科学
IEEE Transactions on Multimedia Pub Date : 2024-07-15 DOI: 10.1109/tmm.2024.3428330
Pei Geng, Xuequan Lu, Wanqing Li, Lei Lyu
{"title":"Hierarchical Aggregated Graph Neural Network for Skeleton-based Action Recognition","authors":"Pei Geng, Xuequan Lu, Wanqing Li, Lei Lyu","doi":"10.1109/tmm.2024.3428330","DOIUrl":"https://doi.org/10.1109/tmm.2024.3428330","url":null,"abstract":"","PeriodicalId":13273,"journal":{"name":"IEEE Transactions on Multimedia","volume":"20 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141720780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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