Wenwu Zhu – författare

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22 produkter

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22 produkter

Optimal Resource Allocation for Distributed Video Communication
AvYifeng He,Ling Guanm. fl.
Häftad, Engelska, 2019
976 kr
Skickas inom 10-15 vardagar
While most books on the subject focus on resource allocation in just one type of network, this book is the first to examine the common characteristics of multiple distributed video communication systems. Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resource allocation across these systems. The book examines the techniques required for optimal resource allocation over Internet, wireless cellular networks, wireless ad hoc networks, and wireless sensor networks. It provides you with the required foundation in video communications, including Peer-to-Peer (P2P) networks, wireless networks, and visual sensor networks. Whether you’re in industry or academia, you’ll value how the book outlines current challenges facing the field and outlines a general solution framework for addressing these challenges. From problem formulations and theoretical analysis to practical algorithms, it facilitates the comprehensive understanding required to achieve optimized video and multimedia communications.Presents the resource allocation techniques for scalable video communications over Internet or wireless networksExamines two resource allocation problems—distributed throughput maximization for scalable P2P Video-on-Demand (VoD) systems and streaming capacity for P2P VoD systemsOutlines an optimal prefetching framework for reducing seeking delays in P2P VoD applicationsExamines distributed optimization techniques for unicast and multicast video streaming over wireless ad hoc networksConsiders the network lifetime maximization problem in wireless visual sensor networks Detailing methods that can immediately improve the performance of your video communication systems, this book presents multiple applications of optimal resource allocation. For each of the applications,
Optimal Resource Allocation for Distributed Video Communication
AvYifeng He,Ling Guanm. fl.
E-bok
Engelska, 2016
942 kr
Läs direkt efter köp
Focusing on resource optimization for distributed video and multimedia communications, this book examines four applications in optimal resource allocations with distributed algorithms, including problem formulation, theoretical analysis, and simulation results. Suitable for both industry practitioners and academics, it introduces the characteristics, recent advances, and current challenges in distributed systems as well as a solutions framework to tackle those challenges. Discussing cutting-edge topics such as the theory of convex optimization and the development of a distributed algorithm using dual decomposition, the book concludes with open issues to stimulate further learning.
Optimal Resource Allocation for Distributed Video Communication
AvYifeng He,Ling Guanm. fl.
E-bok
PDF, Engelska, 2016
970 kr
Läs direkt efter köp
Focusing on resource optimization for distributed video and multimedia communications, this book examines four applications in optimal resource allocations with distributed algorithms, including problem formulation, theoretical analysis, and simulation results. Suitable for both industry practitioners and academics, it introduces the characteristics, recent advances, and current challenges in distributed systems as well as a solutions framework to tackle those challenges. Discussing cutting-edge topics such as the theory of convex optimization and the development of a distributed algorithm using dual decomposition, the book concludes with open issues to stimulate further learning.
Automated Machine Learning and Meta-Learning for Multimedia
AvWenwu Zhu,Xin Wang
Inbunden, Engelska, 2021
1 672 kr
Skickas inom 10-15 vardagar
This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry.This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.
Automated Machine Learning and Meta-Learning for Multimedia
AvXin Wang,Wenwu Zhu
E-bok
Engelska, 2022
2 110 kr
Läs direkt efter köp
This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry.This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.
Automated Machine Learning and Meta-Learning for Multimedia
AvWenwu Zhu,Xin Wang
Häftad, Engelska, 2022
1 672 kr
Skickas inom 10-15 vardagar
This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry.This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.
Video Grounding and Its Generalization
From I.D. and Task-specific Models to O.O.D. and Large Foundation Models
AvXin Wang,Xiaohan Lanm. fl.
Inbunden, Engelska, 2026
1 672 kr
Skickas inom 10-15 vardagar
This book consists of two parts: Part I Methodologies for Video Grounding and Part II Generalized Video Grounding and Trending Directions. To make this book self-contained and cutting edge, Part I will cover basic and advanced methodologies for Video Grounding, discussing key comparisons with several representative Vision-Language learning tasks including multimodal understanding and generation. Part II will cover our insights for Generalized Video Grounding and the development of Video Grounding in the era of large foundation models, discussing future directions such as Out-of-Distribution settings which deserve further investigations.Discussions on Video Grounding will cover both the task of Video Grounding and other Vision-Language Task, as well as their relations. The basics and advances will touch Video Grounding from model to benchmark, from supervised learning to unsupervised pre-training, from single video grounding to video corpus grounding, and from in-distribution setting to out-of-distribution setting. As for Generalized Video Grounding, we discuss cross-modal grounding, event grounding for multi-modal tasks, various distribution shifts in out-of-distribution setting, explainable Video Grounding, and large foundation model for Video Grounding.We deeply hope this book can benefit interested readers from both academy and industry, covering needs from junior starters in research to senior practitioners in IT companies.
Video Grounding and Its Generalization
From I.D. and Task-specific Models to O.O.D. and Large Foundation Models
AvWenwu Zhu,Xiaohan Lanm. fl.
E-bok
Engelska, 2026
2 105 kr
Läs direkt efter köp
This book consists of two parts: Part I Methodologies for Video Grounding and Part II Generalized Video Grounding and Trending Directions. To make this book self-contained and cutting edge, Part I will cover basic and advanced methodologies for Video Grounding, discussing key comparisons with several representative Vision-Language learning tasks including multimodal understanding and generation. Part II will cover our insights for Generalized Video Grounding and the development of Video Grounding in the era of large foundation models, discussing future directions such as Out-of-Distribution settings which deserve further investigations.Discussions on Video Grounding will cover both the task of Video Grounding and other Vision-Language Task, as well as their relations. The basics and advances will touch Video Grounding from model to benchmark, from supervised learning to unsupervised pre-training, from single video grounding to video corpus grounding, and from in-distribution setting to out-of-distribution setting. As for Generalized Video Grounding, we discuss cross-modal grounding, event grounding for multi-modal tasks, various distribution shifts in out-of-distribution setting, explainable Video Grounding, and large foundation model for Video Grounding.We deeply hope this book can benefit interested readers from both academy and industry, covering needs from junior starters in research to senior practitioners in IT companies.
Del 9471 - Lecture Notes in Computer Science
Social Informatics
7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015, Proceedings
AvTie-Yan Liu,Christie Napa Scollonm. fl.
Häftad, Engelska, 2015
546 kr
Skickas inom 10-15 vardagar
This bookconstitutes the proceedings of the 7th International Conference on SocialInformatics, SocInfo 2015, held in Beijing, China, in December 2015. The 19papers presented in this volume were carefully reviewed and selected from 42submissions. They cover topics such as user modeling, opinion mining, userbehavior, and crowd sourcing.
Social Informatics
7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015, Proceedings
AvWenwu Zhu,Christie Napa Scollonm. fl.
E-bok
PDF, Engelska, 2015
734 kr
Läs direkt efter köp
This bookconstitutes the proceedings of the 7th International Conference on SocialInformatics, SocInfo 2015, held in Beijing, China, in December 2015.
The 19papers presented in this volume were carefully reviewed and selected from 42submissions. They cover topics such as user modeling, opinion mining, userbehavior, and crowd sourcing.
Social Video Content Delivery
AvZhi Wang,Jiangchuan Lium. fl.
Häftad, Engelska, 2016
546 kr
Skickas inom 10-15 vardagar
This brief presents new architecture and strategies for distribution of social video content. A primary framework for socially-aware video delivery and a thorough overview of the possible approaches is provided. The book identifies the unique characteristics of socially-aware video access and social content propagation, revealing the design and integration of individual modules that are aimed at enhancing user experience in the social network context. The change in video content generation, propagation, and consumption for online social networks, has significantly challenged the traditional video delivery paradigm. Given the massive amount of user-generated content shared in online social networks, users are now engaged as active participants in the social ecosystem rather than as passive receivers of media content. This revolution is being driven further by the deep penetration of 3G/4G wireless networks and smart mobile devices that are seamlessly integrated with online social networking and media-sharing services. Despite increasingly abundant bandwidth and computational resources, the ever-increasing volume of data created by user-generated video content--along with the boundless coverage of socialized sharing--presents unprecedented challenges.
Social Video Content Delivery
AvWenwu Zhu,Jiangchuan Lium. fl.
E-bok
PDF, Engelska, 2016
710 kr
Läs direkt efter köp
This brief presents new architecture and strategies for distribution of social video content. A primary framework for socially-aware video delivery and a thorough overview of the possible approaches is provided. The book identifies the unique characteristics of socially-aware video access and social content propagation, revealing the design and integration of individual modules that are aimed at enhancing user experience in the social network context. The change in video content generation, propagation, and consumption for online social networks, has significantly challenged the traditional video delivery paradigm. Given the massive amount of user-generated content shared in online social networks, users are now engaged as active participants in the social ecosystem rather than as passive receivers of media content. This revolution is being driven further by the deep penetration of 3G/4G wireless networks and smart mobile devices that are seamlessly integrated with online social networking and media-sharing services. Despite increasingly abundant bandwidth and computational resources, the ever-increasing volume of data created by user-generated video content--along with the boundless coverage of socialized sharing--presents unprecedented challenges.
Online Social Media Content Delivery
A Data-Driven Approach
AvZhi Wang,Wenwu Zhum. fl.
Häftad, Engelska, 2018
618 kr
Skickas inom 10-15 vardagar
This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery.
Online Social Media Content Delivery
A Data-Driven Approach
AvShiqiang Yang,Wenwu Zhum. fl.
E-bok
Engelska, 2018
789 kr
Läs direkt efter köp
This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery.
Visual Question Answering
From Theory to Application
AvQi Wu,Peng Wangm. fl.
Inbunden, Engelska, 2022
1 561 kr
Skickas inom 10-15 vardagar
Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc.Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging.This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, andpromising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.
Visual Question Answering
From Theory to Application
AvWenwu Zhu,Xiaodong Hem. fl.
E-bok
Engelska, 2022
1 455 kr
Läs direkt efter köp
Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc.
Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging.
This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, andpromising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.
Visual Question Answering
From Theory to Application
AvQi Wu,Peng Wangm. fl.
Häftad, Engelska, 2023
1 117 kr
Skickas inom 10-15 vardagar
Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc.Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging.This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, andpromising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.
Autonomous Embodied AI
Towards Self-evolving Intelligence
AvXin Wang,Tongtong Fengm. fl.
Inbunden, Engelska, 2026
1 947 kr
Skickas inom 10-15 vardagar
This book offers a concise yet comprehensive exploration of embodied artificial intelligence (AI) and its integration with swarm manipulation, navigation, and tracking tasks. It uniquely bridges the gap in the existing literature by providing a thorough review of swarm-embodied AI, focusing on collaborative perception and decision-making methods. Its standout features include a systematic approach, detailed discussions on advanced directions, and a practical case study on multi-robot multi-target tracking.It commences by examining the three key elements of embodied AI: multi-sensor fusion, embodied perception, and embodied decision-making. It reviews existing works that independently optimize each of these elements. Subsequently, the book delves into swarm-embodied AI, encompassing swarm-embodied collaborative perception, collaborative decision-making, and future research directions. Specifically, it explores how swarm intelligence enhances the scalability and generalizability of embodied AI, and conversely, how embodied AI augments swarm intelligence by adapting learning models to diverse tasks and environments. Finally, the book presents a case study of multi-robot multi-target tracking, providing a practical demonstration of all algorithms discussed within. Readers can follow this case study step by step to gain a deeper understanding of the advancements and potential challenges of swarm-embodied AI.Designed with accessibility in mind, this book caters to a wide audience, including researchers, students, and practitioners seeking insights into this rapidly evolving field. Its user-friendly format ensures ease of understanding without requiring specialized prior knowledge. By distilling complex concepts and highlighting practical applications, the book serves as an invaluable resource for anyone interested in the intersection of embodied AI and swarm intelligence.
Autonomous Embodied AI
Towards Self-evolving Intelligence
AvWenwu Zhu,Huaping Lium. fl.
E-bok
Engelska, 2026
2 517 kr
Läs direkt efter köp
This book offers a concise yet comprehensive exploration of embodied artificial intelligence (AI) and its integration with swarm manipulation, navigation, and tracking tasks. It uniquely bridges the gap in the existing literature by providing a thorough review of swarm-embodied AI, focusing on collaborative perception and decision-making methods. Its standout features include a systematic approach, detailed discussions on advanced directions, and a practical case study on multi-robot multi-target tracking.It commences by examining the three key elements of embodied AI: multi-sensor fusion, embodied perception, and embodied decision-making. It reviews existing works that independently optimize each of these elements. Subsequently, the book delves into swarm-embodied AI, encompassing swarm-embodied collaborative perception, collaborative decision-making, and future research directions. Specifically, it explores how swarm intelligence enhances the scalability and generalizability of embodied AI, and conversely, how embodied AI augments swarm intelligence by adapting learning models to diverse tasks and environments. Finally, the book presents a case study of multi-robot multi-target tracking, providing a practical demonstration of all algorithms discussed within. Readers can follow this case study step by step to gain a deeper understanding of the advancements and potential challenges of swarm-embodied AI.Designed with accessibility in mind, this book caters to a wide audience, including researchers, students, and practitioners seeking insights into this rapidly evolving field. Its user-friendly format ensures ease of understanding without requiring specialized prior knowledge. By distilling complex concepts and highlighting practical applications, the book serves as an invaluable resource for anyone interested in the intersection of embodied AI and swarm intelligence.
Big Data
12th CCF Conference, BigData 2024, Qingdao, China, August 9–11, 2024, Proceedings
AvWenwu Zhu,Hui Xiongm. fl.
Häftad, Engelska, 2025
895 kr
Skickas inom 10-15 vardagar
“This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, in August 2024” to “This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, during 9-11 August, 2024.The 26 full papers presented in this volume were carefully reviewed and selected from 219 submissions. The topics of accepted papers include Big data, Data Science, System Architecture and Infrastructure, Storage Management, Parallel Computing, Analysis Mining and Intelligent Computing, Collection and Preprocessing, Governance.
Big Data
12th CCF Conference, BigData 2024, Qingdao, China, August 9–11, 2024, Proceedings
AvZhenxiang Chen,Lanju Kongm. fl.
E-bok
Engelska, 2025
1 105 kr
Läs direkt efter köp
“This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, in August 2024” to “This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, during 9-11 August, 2024.
The 26 full papers presented in this volume were carefully reviewed and selected from 219 submissions. The topics of accepted papers include Big data, Data Science, System Architecture and Infrastructure, Storage Management, Parallel Computing, Analysis Mining and Intelligent Computing, Collection and Preprocessing, Governance.
Optimal Resource Allocation for Distributed Video Communication
AvYifeng He,Ling Guanm. fl.
Inbunden, Engelska, 2013
1 135 kr
Tillfälligt slut
While most books on the subject focus on resource allocation in just one type of network, this book is the first to examine the common characteristics of multiple distributed video communication systems. Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resource allocation across these systems. The book examines the techniques required for optimal resource allocation over Internet, wireless cellular networks, wireless ad hoc networks, and wireless sensor networks. It provides you with the required foundation in video communications, including Peer-to-Peer (P2P) networks, wireless networks, and visual sensor networks. Whether you’re in industry or academia, you’ll value how the book outlines current challenges facing the field and outlines a general solution framework for addressing these challenges. From problem formulations and theoretical analysis to practical algorithms, it facilitates the comprehensive understanding required to achieve optimized video and multimedia communications.Presents the resource allocation techniques for scalable video communications over Internet or wireless networksExamines two resource allocation problems—distributed throughput maximization for scalable P2P Video-on-Demand (VoD) systems and streaming capacity for P2P VoD systemsOutlines an optimal prefetching framework for reducing seeking delays in P2P VoD applicationsExamines distributed optimization techniques for unicast and multicast video streaming over wireless ad hoc networksConsiders the network lifetime maximization problem in wireless visual sensor networks Detailing methods that can immediately improve the performance of your video communication systems, this book presents multiple applications of optimal resource allocation. For each of the applications,

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Wenwu Zhu – författare

Optimal Resource Allocation for Distributed Video Communication

Optimal Resource Allocation for Distributed Video Communication

Optimal Resource Allocation for Distributed Video Communication

Automated Machine Learning and Meta-Learning for Multimedia

Automated Machine Learning and Meta-Learning for Multimedia

Automated Machine Learning and Meta-Learning for Multimedia

Video Grounding and Its Generalization

Video Grounding and Its Generalization

Social Informatics

Social Informatics

Social Video Content Delivery

Social Video Content Delivery

Online Social Media Content Delivery

Online Social Media Content Delivery

Visual Question Answering

Visual Question Answering

Visual Question Answering

Autonomous Embodied AI

Autonomous Embodied AI

Big Data

Big Data

Optimal Resource Allocation for Distributed Video Communication

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