Multimodal Analysis Of User Generated Multimedia Content
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Multimodal Analysis Of User Generated Multimedia Content
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Author : Rajiv Shah
language : en
Publisher: Springer
Release Date : 2017-08-30
Multimodal Analysis Of User Generated Multimedia Content written by Rajiv Shah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-30 with Medical categories.
This book presents a summary of the multimodal analysis of user-generated multimedia content (UGC). Several multimedia systems and their proposed frameworks are also discussed. First, improved tag recommendation and ranking systems for social media photos, leveraging both content and contextual information, are presented. Next, we discuss the challenges in determining semantics and sentics information from UGC to obtain multimedia summaries. Subsequently, we present a personalized music video generation system for outdoor user-generated videos. Finally, we discuss approaches for multimodal lecture video segmentation techniques. This book also explores the extension of these multimedia system with the use of heterogeneous continuous streams.
Video Content Analysis Using Multimodal Information
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Author : Ying Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Video Content Analysis Using Multimodal Information written by Ying Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.
Video Content Analysis Using Multimodal Information For Movie Content Extraction, Indexing and Representation is on content-based multimedia analysis, indexing, representation and applications with a focus on feature films. Presented are the state-of-art techniques in video content analysis domain, as well as many novel ideas and algorithms for movie content analysis based on the use of multimodal information. The authors employ multiple media cues such as audio, visual and face information to bridge the gap between low-level audiovisual features and high-level video semantics. Based on sophisticated audio and visual content processing such as video segmentation and audio classification, the original video is re-represented in the form of a set of semantic video scenes or events, where an event is further classified as a 2-speaker dialog, a multiple-speaker dialog, or a hybrid event. Moreover, desired speakers are simultaneously identified from the video stream based on either a supervised or an adaptive speaker identification scheme. All this information is then integrated together to build the video's ToC (table of content) as well as the index table. Finally, a video abstraction system, which can generate either a scene-based summary or an event-based skim, is presented by exploiting the knowledge of both video semantics and video production rules. This monograph will be of great interest to research scientists and graduate level students working in the area of content-based multimedia analysis, indexing, representation and applications as well s its related fields.
Intelligent Multidimensional Data And Image Processing
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Author : De, Sourav
language : en
Publisher: IGI Global
Release Date : 2018-06-08
Intelligent Multidimensional Data And Image Processing written by De, Sourav and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-08 with Computers categories.
As the most natural and convenient means of conveying or transmitting information, images play a vital role in our daily lives. Image processing is now of paramount importance in the computer vision research community, and proper processing of two-dimensional (2D) real-life images plays a key role in many real-life applications as well as commercial developments. Intelligent Multidimensional Data and Image Processing is a vital research publication that contains an in-depth exploration of image processing techniques used in various applications, including how to handle noise removal, object segmentation, object extraction, and the determination of the nearest object classification and its associated confidence level. Featuring coverage on a broad range of topics such as object detection, machine vision, and image conversion, this book provides critical research for scientists, computer engineers, professionals, researchers, and academicians seeking current research on solutions for new challenges in 2D and 3D image processing.
Deep Learning Based Approaches For Sentiment Analysis
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Author : Basant Agarwal
language : en
Publisher: Springer Nature
Release Date : 2020-01-24
Deep Learning Based Approaches For Sentiment Analysis written by Basant Agarwal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-24 with Technology & Engineering categories.
This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.
The Discourse Of Youtube
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Author : Phil Benson
language : en
Publisher: Routledge
Release Date : 2016-10-26
The Discourse Of Youtube written by Phil Benson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-26 with Language Arts & Disciplines categories.
The Discourse of YouTube explores the cutting edge of contemporary multimodal discourse through an in-depth analysis of structures, processes and content in YouTube discourse. YouTube is often seen as no more than a place to watch videos, but this book argues that YouTube and YouTube pages can also be read and analysed as complex, multi-authored, multimodal texts, emerging dynamically from processes of textually-mediated social interaction. The objective of the book is to show how multimodal discourse analysis tools can help us to understand the structures and processes involved in the production of YouTube texts. Philip Benson develops a framework for the analysis of multimodality in the structure of YouTube pages and of the multimodal interactions from which their content emerges. A second, and equally important, objective is to show how the globalization of YouTube is central to much of its discourse. The book identifies translingual practice as a key element in the global discourse of YouTube and discusses its roles in the negotiation of identities and intercultural learning in videos and comments. Focusing on YouTube as a key example of new digital media, The Discourse of YouTube makes a substantial contribution to conversations about new ways of producing multimodal text in a digital world.
Advances In Information Retrieval
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Author : Joemon M. Jose
language : en
Publisher: Springer Nature
Release Date : 2020-04-11
Advances In Information Retrieval written by Joemon M. Jose and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-11 with Computers categories.
This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.* The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR – general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials. *Due to the COVID-19 pandemic, this conference was held virtually.
Databases Theory And Applications
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Author : Zhifeng Bao
language : en
Publisher: Springer Nature
Release Date : 2023-12-08
Databases Theory And Applications written by Zhifeng Bao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Computers categories.
This book constitutes the refereed proceedings of the 34th Australasian Database Conference on Databases Theory and Applications, ADC 2023, held in Melbourne, VIC, Australia, during November 1-3, 2023. The 26 full papers presented in this volume are carefully reviewed and selected from 41 submissions. They were organized in topical sections named: Mining Complex Types of Data, Natural Language Processing and Text Analysis, Machine Learning and Computer Vision, Database Systems and Data Storage, Data Quality and Fairness for Graphs and Graph Mining and Graph Algorithms.
Deep Learning For Multimedia Processing Applications
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Author : Uzair Aslam Bhatti
language : en
Publisher: CRC Press
Release Date : 2024-02-21
Deep Learning For Multimedia Processing Applications written by Uzair Aslam Bhatti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-21 with Computers categories.
Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume Two delves into advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), explaining their unique capabilities in multimedia tasks. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.
Educational Linguistic And Media Discourses
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Author : Roma Kriaučiūnienė
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2020-08-27
Educational Linguistic And Media Discourses written by Roma Kriaučiūnienė and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Language Arts & Disciplines categories.
This book presents a collection of research papers from both experienced and emerging scholars, some of whom presented their work at the international conference ‘Language Teaching and Learning in the 21st Century: Linguistic, Educational and Intercultural Aspects’ held in June 2018 and organised by the Institute of Foreign Languages of the Faculty of Philology of Vilnius University, the FIPLV Nordic-Baltic Region, and the Language Teachers’ Association of Lithuania. The book consists of three parts, the first being devoted to language teaching and teacher education. The second section explores literary and cultural issues, while the third part encompasses linguistic and media discourse studies.
Cognitive Computing For Human Robot Interaction
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Author : Mamta Mittal
language : en
Publisher: Academic Press
Release Date : 2021-08-13
Cognitive Computing For Human Robot Interaction written by Mamta Mittal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-13 with Computers categories.
Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario