Multimodal Analysis Of User Generated Multimedia Content
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Multimodal Analysis of User-Generated Multimedia Content by Rajiv Shah,Roger Zimmermann Pdf
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.
Intelligent Multidimensional Data and Image Processing by De, Sourav,Bhattacharyya, Siddhartha,Dutta, Paramartha Pdf
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.
Video Content Analysis Using Multimodal Information by Ying Li,C.C. Jay Kuo Pdf
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.
Deep Learning-Based Approaches for Sentiment Analysis by Basant Agarwal,Richi Nayak,Namita Mittal,Srikanta Patnaik Pdf
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.
Advances in Information Retrieval by Joemon M. Jose,Emine Yilmaz,João Magalhães,Pablo Castells,Nicola Ferro,Mário J. Silva,Flávio Martins Pdf
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 by Zhifeng Bao,Renata Borovica-Gajic,Ruihong Qiu,Farhana Choudhury,Zhengyi Yang Pdf
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.
Cross-Cultural Design. Experience and Product Design Across Cultures by Pei-Luen Patrick Rau Pdf
The three-volume set LNCS 12771-12773 constitutes the refereed proceedings of the 13th International Conference on Cross-Cultural Design, CCD 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers included in the HCII-CCD volume set were organized in topical sections as follows: Part I: Cross-cultural experience design; cross-cultural product design; cultural differences and cross-cultural communication; Part II: Culture, arts and creativity; culture, learning and well-being; social change and social development; Part III: CCD in cultural heritage and tourism; CCD in autonomous vehicles and driving; CCD in virtual agents, robots and intelligent assistants.
Deep Learning for Multimedia Processing Applications by Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir Pdf
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 by Roma Kriaučiūnienė Pdf
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 by Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy Pdf
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
Human Behavior Analysis: Sensing and Understanding by Zhiwen Yu,Zhu Wang Pdf
Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.
Cutting-edge Social Media Approaches to Business Education by Charles Wankel Pdf
Our current students are digital natives, born into a world of widespread online sharing. Aligning the technologies we use in our courses with their skills and approaches to collaborative learning is an opportunity we should take. The new media share text, images, audio and video material rapidly and interactively. This volume will provide an overview of these new social media including Skype, YouTube, Flickr, blogging, LinkedIn, Facebook, and Twitter. Examples and cases of how instructors around the world are meaningfully incorporating them into their management, marketing, and other business courses are provided. One of the more robust trends is the use of three-dimensional immersive virtual world interfaces for teaching and learning. The leading one is Second Life. Examples of the use of Second Life in business courses will be discussed. The use of wikis to foster collaborative development of course related material by learners will be presented with case examples. Faculty members are co-creators of course content with their learners. Among the topics covered is how faculty members can be supported in their deployment of social media projects and course structures. How social media can enable the structuring of course activities involving students, prospective students, alumni, employers, businesspersons, and others in rich sharing and support with each other will be discussed. Indeed seeing courses as networking venues beyond learning forums will be parsed.
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.
Intelligent Systems Design and Applications by Ajith Abraham,Aswani Kumar Cherukuri,Patricia Melin,Niketa Gandhi Pdf
This book highlights recent research on Intelligent Systems and Nature Inspired Computing. It presents 212 selected papers from the 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) and the 10th World Congress on Nature and Biologically Inspired Computing (NaBIC), which was held at VIT University, India. ISDA-NaBIC 2018 was a premier conference in the field of Computational Intelligence and brought together researchers, engineers and practitioners whose work involved intelligent systems and their applications in industry and the “real world.” Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Issues in Electronic Circuits, Devices, and Materials: 2011 Edition by Anonim Pdf
Issues in Electronic Circuits, Devices, and Materials: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Electronic Circuits, Devices, and Materials. The editors have built Issues in Electronic Circuits, Devices, and Materials: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Electronic Circuits, Devices, and Materials in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Electronic Circuits, Devices, and Materials: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.