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Multimedia Data Mining and Analytics

by Aaron K. Baughman Jiang Gao Jia-Yu Pan Valery A. Petrushin

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.

Multimedia Data Processing and Computing (Innovations in Multimedia, Virtual Reality and Augmentation)

by Suman Kumar Swarnkar J P Patra Tien Anh Tran Bharat Bhushan Santosh Biswas

This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, manufacturing, data science, automation in electronics industries, and many more relevant fields. Multimedia Data Processing and Computing provides a complete introduction to machine learning concepts, as well as practical guidance on how to use machine learning tools and techniques in real-world data engineering situations. It is divided into three sections. In this book on multimedia data engineering and machine learning, the reader will learn how to prepare inputs, interpret outputs, appraise discoveries, and employ algorithmic strategies that are at the heart of successful data mining. The chapters focus on the use of various machine learning algorithms, neural net- work algorithms, evolutionary techniques, fuzzy logic techniques, and deep learning techniques through projects, so that the reader can easily understand not only the concept of different algorithms but also the real-world implementation of the algorithms using IoT devices. The authors bring together concepts, ideas, paradigms, tools, methodologies, and strategies that span both supervised and unsupervised engineering, with a particular emphasis on multimedia data engineering. The authors also emphasize the need for developing a foundation of machine learning expertise in order to deal with a variety of real-world case studies in a variety of sectors such as biological communication systems, healthcare, security, finance, and economics, among others. Finally, the book also presents real-world case studies from machine learning ecosystems to demonstrate the necessary machine learning skills to become a successful practitioner. The primary users for the book include undergraduate and postgraduate students, researchers, academicians, specialists, and practitioners in computer science and engineering.

Multimedia Database Retrieval

by Paisarn Muneesawang Ning Zhang Ling Guan

This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.

Multimedia-enabled Sensors in IoT: Data Delivery and Traffic Modelling

by Fadi Al-Turjman

This book gives an overview of best effort data and real-time multipath routing protocols in WMSN. It provides results of recent research in design issues affecting the development of strategic multipath routing protocols that support multimedia data traffic in WMSN from an IoT perspective, plus detailed analysis on the appropriate traffic models.

Multimedia Encryption and Authentication Techniques and Applications (Internet And Communications Ser.)

by Borko Furht Darko Kirovski

Intellectual property owners must continually exploit new ways of reproducing, distributing, and marketing their products. However, the threat of piracy looms as a major problem with digital distribution and storage technologies. Multimedia Encryption and Authentication Techniques and Applications covers current and future trends in the des

Multimedia for Accessible Human Computer Interfaces

by Xueliang Liu Troy McDaniel

The book Multimedia for Accessible Human Computer Interfaces is to be the first resource to provide in-depth coverage on topical areas of multimedia computing (images, video, audio, speech, haptics, VR/AR, etc.) for accessible and inclusive human computer interfaces. Topics are grouped into thematic areas spanning the human senses: Vision, Hearing, Touch, as well as Multimodal applications. Each chapter is written by different multimedia researchers to provide complementary and multidisciplinary perspectives. Unlike other related books, which focus on guidelines for designing accessible interfaces, or are dated in their coverage of cutting edge multimedia technologies, Multimedia for Accessible Human Computer Interfaces takes an application-oriented approach to present a tour of how the field of multimedia is advancing access to human computer interfaces for individuals with disabilities.Under Theme 1 “Vision-based Technologies for Accessible Human Computer Interfaces”, multimedia technologies to enhance access to interfaces through vision will be presented including: “A Framework for Gaze-contingent Interfaces”, “Sign Language Recognition”, “Fusion-based Image Enhancement and its Applications in Mobile Devices”, and “Open-domain Textual Question Answering Systems”. Under Theme 2 “Auditory Technologies for Accessible Human Computer Interfaces”, multimedia technologies to enhance access to interfaces through hearing will be presented including: “Speech Recognition for Individuals with Voice Disorders” and “Socially Assistive Robots for Storytelling and Other Activities to Support Aging in Place”. Under Theme 3 “Haptic Technologies for Accessible Human Computer Interfaces”, multimedia technologies to enhance access to interfaces through haptics will be presented including: “Accessible Smart Coaching Technologies Inspired by Elderly Requisites” and “Haptic Mediators for Remote Interpersonal Communication”. Under Theme 4 “Multimodal Technologies for Accessible Human Computer Interfaces”, multimedia technologies to enhance access to interfaces through multiple modalities will be presented including: “Human-Machine Interfaces for Socially Connected Devices: From Smart Households to Smart Cities” and “Enhancing Situational Awareness and Kinesthetic Assistance for Clinicians via Augmented-Reality and Haptic Shared-Control Technologies”.

Multimedia Forensics (Advances in Computer Vision and Pattern Recognition)

by Husrev Taha Sencar Luisa Verdoliva Nasir Memon

This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.

Multimedia Forensics and Security

by Aboul Ella Hassanien Mohamed Mostafa Fouad Azizah Abdul Manaf Mazdak Zamani Rabiah Ahmad Janusz Kacprzyk

This book presents recent applications and approaches as well as challenges in digital forensic science. One of the evolving challenges that is covered in the book is the cloud forensic analysis which applies the digital forensic science over the cloud computing paradigm for conducting either live or static investigations within the cloud environment. The book also covers the theme of multimedia forensics and watermarking in the area of information security. That includes highlights on intelligence techniques designed for detecting significant changes in image and video sequences. Moreover, the theme proposes recent robust and computationally efficient digital watermarking techniques. The last part of the book provides several digital forensics related applications, including areas such as evidence acquisition enhancement, evidence evaluation, cryptography, and finally, live investigation through the importance of reconstructing the botnet attack scenario to show the malicious activities and files as evidences to be presented in a court.

The Multimedia Handbook

by Tony Cawkell

The Multimedia Handbook provides a comprehensive guide to the wide range of uses of multimedia. The first part of the book introduces the technology for the non-specialist. Part Two covers multimedia applications and markets. Tony Cawkell details the huge array of authoring software which is now available, as well as the distribution of multimedia data by telephone, cable, satellite or radio communications. There is an extensive bibliography, a glossary of technical terms and acronyms and a full index.

Multimedia Image and Video Processing (Image Processing Series)

by Ling Guan

As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with 21 new chapters, Multimedia Image and Video Processing, Second Edition explores the most recent advances in multimedia research and applications. This edition presents a comprehensive treatment of multimedia information mining, security, systems, coding, search, hardware, and communications as well as multimodal information fusion and interaction. Clearly divided into seven parts, the book begins with a section on standards, fundamental methods, design issues, and typical architectures. It then focuses on the coding of video and multimedia content before covering multimedia search, retrieval, and management. After examining multimedia security, the book describes multimedia communications and networking and explains the architecture design and implementation for multimedia image and video processing. It concludes with a section on multimedia systems and applications. Written by some of the most prominent experts in the field, this updated edition provides readers with the latest research in multimedia processing and equips them with advanced techniques for the design of multimedia systems.

Multimedia in the College Classroom: Improve Learning and Connect with Students in Online and Hybrid Courses

by Heidi Skurat Harris Michael Greer

This practical guide to multimedia in online college instruction provides easy-to-follow instructions for designing multimedia assignments that maximize student learning while reducing cognitive load.This book presents the learning process as a complex, multidimensional experience that includes texts as well as auditory and visual elements. Each chapter includes research-based activities to develop instructors’ multimedia skills. The book leverages cutting edge cognitive research to improve accessibility and design, while also providing practical asynchronous and synchronous activities that engage learners.Multimedia in the College Classroom is the ideal resource for any higher education instructor, administrator, or leader who wishes to learn about, reflect on, and implement research-based learning strategies through the targeted use of multimedia.

Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring

by Mark T. Maybury

The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains. This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers.

Multimedia Interaction and Intelligent User Interfaces

by Minoru Etoh Ling Shao Jiebo Luo Caifeng Shan

Consumer electronics (CE) devices, providing multimedia entertainment and enabling communication, have become ubiquitous in daily life. However, consumer interaction with such equipment currently requires the use of devices such as remote controls and keyboards, which are often inconvenient, ambiguous and non-interactive. An important challenge for the modern CE industry is the design of user interfaces for CE products that enable interactions which are natural, intuitive and fun. As many CE products are supplied with microphones and cameras, the exploitation of both audio and visual information for interactive multimedia is a growing field of research. Collecting together contributions from an international selection of experts, including leading researchers in industry, this unique text presents the latest advances in applications of multimedia interaction and user interfaces for consumer electronics. Covering issues of both multimedia content analysis and human-machine interaction, the book examines a wide range of techniques from computer vision, machine learning, audio and speech processing, communications, artificial intelligence and media technology. Topics and features: introduces novel computationally efficient algorithms to extract semantically meaningful audio-visual events; investigates modality allocation in intelligent multimodal presentation systems, taking into account the cognitive impacts of modality on human information processing; provides an overview on gesture control technologies for CE; presents systems for natural human-computer interaction, virtual content insertion, and human action retrieval; examines techniques for 3D face pose estimation, physical activity recognition, and video summary quality evaluation; discusses the features that characterize the new generation of CE and examines how web services can be integrated with CE products for improved user experience. This book is an essential resource for researchers and practitioners from both academia and industry working in areas of multimedia analysis, human-computer interaction and interactive user interfaces. Graduate students studying computer vision, pattern recognition and multimedia will also find this a useful reference.

Multimedia - Making It Work

by Tay Vaughan

The Most Complete, Up-to-Date Multimedia Guide Thoroughly updated to cover the latest technologies, including mobile multimedia, this full-color resource prepares you for a successful multimedia career by teachingyou the fundamental concepts and required skills. Multimedia: Making It Work, Ninth Edition explains how to integrate text, images, sound, animation, and video into compelling projects. Multimedia project planning, costs, design, production, talent acquisition, testing, and delivery are also discussed. Chapter-ending quizzes reinforce key concepts and hands-on lab projects allow you to apply your new skills. Learn how to: Master the essential elements of multimedia, including text, images, sound, animation, and video Incorporate bitmap, vector, and 3-D images Record and edit digital audio and use MIDI Create computer-generated animations Shoot and edit digital video Select the best hardware, software, and authoring tools for your project Determine the scope and cost of a multimedia projectn Design, produce, and test your project Acquire the best content and talent for your budget Design dynamic Web content Create apps for mobile devices, including tablets, readers, and smartphones Deliver multimedia over the Internet, in an app store, and on CD-ROM and DVD Each chapter includes: Learning objectives Full-color illustrations and screenshots Helpful notes, tips, and warnings Chapter summaries and key term lists End-of-chapter quizzes and lab projects This book is intended for students enrolled in an instructor-led course and does not provide correct answers for the end-of-chapter quizzes or access to the instructor's resource materials. If you are an instructor, please contact your McGraw-Hill Education sales representative for details.

MultiMedia Modeling

by Laurent Amsaleg Gylfi Þór Guðmundsson Cathal Gurrin Björn Þór Jónsson Shin’ichi Satoh

The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling, MMM 2017, held in Reykjavik, Iceland, in January 2017. Of the 149 full papers submitted, 36 were selected for oral presentation and 33 for poster presentation; of the 34 special session papers submitted, 24 were selected for oral presentation and 2 for poster presentation; in addition, 5 demonstrations were accepted from 8 submissions, and all 7 submissions to VBS 2017. All papers presented were carefully reviewed and selected from 198 submissions. MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and practical development experiences from all MMM related areas, broadly falling into three categories: multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

MultiMedia Modeling

by Laurent Amsaleg Gylfi Þór Guðmundsson Cathal Gurrin Björn Þór Jónsson Shin’ichi Satoh

The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling, MMM 2017, held in Reykjavik, Iceland, in January 2017. Of the 149 full papers submitted, 36 were selected for oral presentation and 33 for poster presentation; of the 34 special session papers submitted, 24 were selected for oral presentation and 2 for poster presentation; in addition, 5 demonstrations were accepted from 8 submissions, and all 7 submissions to VBS 2017. All papers presented were carefully reviewed and selected from 198 submissions. MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and practical development experiences from all MMM related areas, broadly falling into three categories: multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, Proceedings, Part I (Lecture Notes in Computer Science #11961)

by Jung-Woo Choi Junmo Kim Wen-Huang Cheng Wei-Ta Chu Peng Cui Min-Chun Hu Wesley De Neve

The two-volume set LNCS 11961 and 11962 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2020, held in Daejeon, South Korea, in January 2020. Of the 171 submitted full research papers, 40 papers were selected for oral presentation and 46 for poster presentation; 28 special session papers were selected for oral presentation and 8 for poster presentation; in addition, 9 demonstration papers and 6 papers for the Video Browser Showdown 2020 were accepted. The papers of LNCS 11961 are organized in the following topical sections: audio and signal processing; coding and HVS; color processing and art; detection and classification; face; image processing; learning and knowledge representation; video processing; poster papers; the papers of LNCS 11962 are organized in the following topical sections: poster papers; AI-powered 3D vision; multimedia analytics: perspectives, tools and applications; multimedia datasets for repeatable experimentation; multi-modal affective computing of large-scale multimedia data; multimedia and multimodal analytics in the medical domain and pervasive environments; intelligent multimedia security; demo papers; and VBS papers.

MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, Proceedings, Part II (Lecture Notes in Computer Science #11962)

by Jung-Woo Choi Junmo Kim Wen-Huang Cheng Wei-Ta Chu Peng Cui Min-Chun Hu Wesley De Neve

The two-volume set LNCS 11961 and 11962 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2020, held in Daejeon, South Korea, in January 2020. Of the 171 submitted full research papers, 40 papers were selected for oral presentation and 46 for poster presentation; 28 special session papers were selected for oral presentation and 8 for poster presentation; in addition, 9 demonstration papers and 6 papers for the Video Browser Showdown 2020 were accepted. The papers of LNCS 11961 are organized in the following topical sections: audio and signal processing; coding and HVS; color processing and art; detection and classification; face; image processing; learning and knowledge representation; video processing; poster papers; the papers of LNCS 11962 are organized in the following topical sections: poster papers; AI-powered 3D vision; multimedia analytics: perspectives, tools and applications; multimedia datasets for repeatable experimentation; multi-modal affective computing of large-scale multimedia data; multimedia and multimodal analytics in the medical domain and pervasive environments; intelligent multimedia security; demo papers; and VBS papers.

MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part I (Lecture Notes in Computer Science #13833)

by Duc-Tien Dang-Nguyen Cathal Gurrin Martha Larson Alan F. Smeaton Stevan Rudinac Minh-Son Dao Christoph Trattner Phoebe Chen

The two-volume set LNCS 13833 and LNCS 13834 constitutes the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, during January 9-12, 2023. The 86 papers presented in these proceedings were carefully reviewed and selected from a total of 267 submissions. They focus on topics related to multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part II (Lecture Notes in Computer Science #13834)

by Duc-Tien Dang-Nguyen Cathal Gurrin Martha Larson Alan F. Smeaton Stevan Rudinac Minh-Son Dao Christoph Trattner Phoebe Chen

The two-volume set LNCS 13833 and LNCS 13834 constitutes the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, during January 9-12, 2023. The 86 papers presented in these proceedings were carefully reviewed and selected from a total of 267 submissions. They focus on topics related to multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part II (Lecture Notes in Computer Science #15521)

by Ichiro Ide Ioannis Kompatsiaris Changsheng Xu Keiji Yanai Wei-Ta Chu Naoko Nitta Michael Riegler Toshihiko Yamasaki

This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.

MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part III (Lecture Notes in Computer Science #15522)

by Ichiro Ide Ioannis Kompatsiaris Changsheng Xu Keiji Yanai Wei-Ta Chu Naoko Nitta Michael Riegler Toshihiko Yamasaki

This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.

MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part V (Lecture Notes in Computer Science #15524)

by Ichiro Ide Ioannis Kompatsiaris Changsheng Xu Keiji Yanai Wei-Ta Chu Naoko Nitta Michael Riegler Toshihiko Yamasaki

This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.

MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part IV (Lecture Notes in Computer Science #15523)

by Ichiro Ide Ioannis Kompatsiaris Changsheng Xu Keiji Yanai Wei-Ta Chu Naoko Nitta Michael Riegler Toshihiko Yamasaki

This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.

MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I (Lecture Notes in Computer Science #15520)

by Ichiro Ide Ioannis Kompatsiaris Changsheng Xu Keiji Yanai Wei-Ta Chu Naoko Nitta Michael Riegler Toshihiko Yamasaki

This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.

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Showing 39,926 through 39,950 of 59,613 results