IEEE Transactions on Circuits and Systems for Video Technology最新文献

筛选
英文 中文
Dual Protection for Image Privacy and Copyright via Traceable Adversarial Examples 通过可追溯反向示例实现图像隐私和版权的双重保护
IF 8.4 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-23 DOI: 10.1109/tcsvt.2024.3448351
Ming Li, Zhaoli Yang, Tao Wang, Yushu Zhang, Wenying Wen
{"title":"Dual Protection for Image Privacy and Copyright via Traceable Adversarial Examples","authors":"Ming Li, Zhaoli Yang, Tao Wang, Yushu Zhang, Wenying Wen","doi":"10.1109/tcsvt.2024.3448351","DOIUrl":"https://doi.org/10.1109/tcsvt.2024.3448351","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"9 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic, Robust and Blind Video Watermarking Resisting Camera Recording 自动、鲁棒性和盲视频水印,可抵御摄像头拍摄
IF 8.4 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-23 DOI: 10.1109/tcsvt.2024.3448502
Lina Lin, Deyang Wu, Jiayan Wang, Yanli Chen, Xinpeng Zhang, Hanzhou Wu
{"title":"Automatic, Robust and Blind Video Watermarking Resisting Camera Recording","authors":"Lina Lin, Deyang Wu, Jiayan Wang, Yanli Chen, Xinpeng Zhang, Hanzhou Wu","doi":"10.1109/tcsvt.2024.3448502","DOIUrl":"https://doi.org/10.1109/tcsvt.2024.3448502","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"383 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
F2CENet: Single-Image Object Counting Based on Block Co-saliency Density Map Estimation F2CENet:基于块共锯齿密度图估算的单张图像物体计数
IF 8.4 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-23 DOI: 10.1109/tcsvt.2024.3449070
Xuehui Wu, Huanliang Xu, Henry Leung, Xiaobo Lu, Yanbin Li
{"title":"F2CENet: Single-Image Object Counting Based on Block Co-saliency Density Map Estimation","authors":"Xuehui Wu, Huanliang Xu, Henry Leung, Xiaobo Lu, Yanbin Li","doi":"10.1109/tcsvt.2024.3449070","DOIUrl":"https://doi.org/10.1109/tcsvt.2024.3449070","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"31 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Guest Editorial Introduction to the Special Issue on Label-Efficient Learning on Video Data 视频数据标签高效学习》特刊特邀编辑导言
IF 8.3 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-13 DOI: 10.1109/TCSVT.2024.3418228
Wenguan Wang;Tianfei Zhou;Dongfang Liu;Zheng Thomas Tang;Alexander C. Loui
{"title":"Guest Editorial Introduction to the Special Issue on Label-Efficient Learning on Video Data","authors":"Wenguan Wang;Tianfei Zhou;Dongfang Liu;Zheng Thomas Tang;Alexander C. Loui","doi":"10.1109/TCSVT.2024.3418228","DOIUrl":"https://doi.org/10.1109/TCSVT.2024.3418228","url":null,"abstract":"Currently, the success of image processing relies heavily on large well-annotated datasets. However, collecting and labeling video data are significantly more labor-intensive, posing major challenges for training video algorithms and limiting their practical applications. While label-efficient techniques for image data have advanced, solutions for video data are still emerging. Unlabeled video data, with their inherent structured nature, offer valuable assets for label-efficient learning. Unlike image data, video data naturally captures realistic transformations, providing rich samples for learning. Moreover, from a border perspective, video tasks hold great potential for applications like autonomous driving and video surveillance but present unique challenges due to the need to understand both spatial and temporal aspects. Leveraging label-efficient learning is essential for comprehensively understanding visual content and enabling a wide range of real-world video applications. This Special Issue on “Label-Efficient Learning for Video Data” seeks to advance research in this area, offering new insights and solutions to benefit both researchers and practitioners.","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"34 8","pages":"6615-6619"},"PeriodicalIF":8.3,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10634312","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Transactions on Circuits and Systems for Video Technology Publication Information IEEE 视频技术电路与系统论文集》出版信息
IF 8.3 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-12 DOI: 10.1109/TCSVT.2024.3436237
{"title":"IEEE Transactions on Circuits and Systems for Video Technology Publication Information","authors":"","doi":"10.1109/TCSVT.2024.3436237","DOIUrl":"https://doi.org/10.1109/TCSVT.2024.3436237","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"34 8","pages":"C2-C2"},"PeriodicalIF":8.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10634007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141979978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introduction to the Special Issue on AI-Generated Content for Multimedia 人工智能生成的多媒体内容特刊简介
IF 8.3 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-12 DOI: 10.1109/TCSVT.2024.3427488
Shengxi Li;Xuelong Li;Leonardo Chiariglione;Jiebo Luo;Wenwu Wang;Zhengyuan Yang;Danilo Mandic;Hamido Fujita
{"title":"Introduction to the Special Issue on AI-Generated Content for Multimedia","authors":"Shengxi Li;Xuelong Li;Leonardo Chiariglione;Jiebo Luo;Wenwu Wang;Zhengyuan Yang;Danilo Mandic;Hamido Fujita","doi":"10.1109/TCSVT.2024.3427488","DOIUrl":"https://doi.org/10.1109/TCSVT.2024.3427488","url":null,"abstract":"Our world is becoming rapidly dependent on data of increasing complexity, diversity, and volume which calls for robust and powerful tools to process such big data. Probabilistic generative models fulfill this goal by learning latent characteristic data relations, especially for the recent emergence of large-scale deep generative models that are able to create realistic content, namely, artificial intelligence-generated content (AIGC). The applications of AIGC span across various domains, and witness rich potential in multimedia content creation, including dialog generation, text-to-speech conversion, image/video generation, and cross-modal content generation.","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"34 8","pages":"6809-6813"},"PeriodicalIF":8.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10634078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Circuits and Systems Society Information 电气和电子工程师学会电路与系统协会信息
IF 8.3 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-12 DOI: 10.1109/TCSVT.2024.3436239
{"title":"IEEE Circuits and Systems Society Information","authors":"","doi":"10.1109/TCSVT.2024.3436239","DOIUrl":"https://doi.org/10.1109/TCSVT.2024.3436239","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"34 8","pages":"C3-C3"},"PeriodicalIF":8.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10634008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141973507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication DiffVein:用于指静脉分割和身份验证的统一扩散网络
IF 8.4 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-09 DOI: 10.1109/tcsvt.2024.3404865
Yanjun Liu, Wenming Yang, Qingmin Liao
{"title":"DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication","authors":"Yanjun Liu, Wenming Yang, Qingmin Liao","doi":"10.1109/tcsvt.2024.3404865","DOIUrl":"https://doi.org/10.1109/tcsvt.2024.3404865","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"23 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141940452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Preprocessing Enhanced Image Compression for Machine Vision 用于机器视觉的预处理增强型图像压缩技术
IF 8.4 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-09 DOI: 10.1109/tcsvt.2024.3441049
Guo Lu, Xingtong Ge, Tianxiong Zhong, Qiang Hu, Jing Geng
{"title":"Preprocessing Enhanced Image Compression for Machine Vision","authors":"Guo Lu, Xingtong Ge, Tianxiong Zhong, Qiang Hu, Jing Geng","doi":"10.1109/tcsvt.2024.3441049","DOIUrl":"https://doi.org/10.1109/tcsvt.2024.3441049","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"8 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141940450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Common Feature Mining for Efficient Video Semantic Segmentation 挖掘深度共性特征,实现高效视频语义分割
IF 8.4 1区 工程技术
IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-08-09 DOI: 10.1109/tcsvt.2024.3441036
Yaoyan Zheng, Hongyu Yang, Di Huang
{"title":"Deep Common Feature Mining for Efficient Video Semantic Segmentation","authors":"Yaoyan Zheng, Hongyu Yang, Di Huang","doi":"10.1109/tcsvt.2024.3441036","DOIUrl":"https://doi.org/10.1109/tcsvt.2024.3441036","url":null,"abstract":"","PeriodicalId":13082,"journal":{"name":"IEEE Transactions on Circuits and Systems for Video Technology","volume":"58 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141940455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信