Multimodal Behavior Analysis in the Wild, Alameda-Pineda, Xavier
Автор: AUGUST Название: Visual imagery, metadata, and multimodal literacies across the curriculum / ISBN: 1522528083 ISBN-13(EAN): 9781522528081 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 204210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A student’s learning experience can be enhanced through a multitude of pedagogical strategies. This can be accomplished by visually engaging students in classroom activities. Visual Imagery, Metadata, and Multimodal Literacies Across the Curriculum is a pivotal reference source that examines the role of visual-based stimuli to create meaningful learning in contemporary classroom settings. Highlighting a range of relevant topics such as writing composition, data visualization, and literature studies, this book is ideally designed for educators, researchers, professionals, and academics interested in the application of visual imagery in learning environments.
Автор: Ying Li; C.C. Jay Kuo Название: Video Content Analysis Using Multimodal Information ISBN: 1441953655 ISBN-13(EAN): 9781441953650 Издательство: Springer Рейтинг: Цена: 137850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With the fast growth ofmultimedia information, content-based video anal- ysis, indexing and representation have attracted increasing attention in re- cent years. Many applications have emerged in these areas such as video- on-demand, distributed multimedia systems, digital video libraries, distance learning/education, entertainment, surveillance and geographical information systems. The need for content-based video indexing and retrieval was also rec- ognized by ISOIMPEG, and a new international standard called "Multimedia Content Description Interface" (or in short, MPEG-7)was initialized in 1998 and finalized in September 2001. In this context, a systematic and thorough review ofexisting approaches as well as the state-of-the-art techniques in video content analysis, indexing and representation areas are investigated and studied in this book. In addition, we will specifically elaborate on a system which analyzes, indexes and abstracts movie contents based on the integration ofmultiple media modalities. Content ofeach part ofthis book is briefly previewed below. In the first part, we segment a video sequence into a set ofcascaded shots, where a shot consistsofone or more continuouslyrecorded image frames. Both raw and compressedvideo data will beinvestigated. Moreover, consideringthat there are always non-story units in real TV programs such as commercials, a novel commercial break detection/extraction scheme is developed which ex- ploits both audio and visual cues to achieve robust results. Specifically, we first employ visual cues such as the video data statistics, the camera cut fre- quency, and the existenceofdelimiting black frames between commercials and programs, to obtain coarse-level detection results.
Автор: Li Shen; Tianming Liu; Pew-Thian Yap; Heng Huang; Название: Multimodal Brain Image Analysis ISBN: 3319021257 ISBN-13(EAN): 9783319021256 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI.
Название: New directions in the analysis of multimodal discourse ISBN: 0805851062 ISBN-13(EAN): 9780805851069 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: New Directions in the Analysis of Multimodal Discourse offers a comprehensive international view of multimodal discourse and presents new directions for research and application in this growing field.
Автор: Norris Название: Systematically Working with Multimodal Data: Research Methods in Multimodal Discourse Analysis ISBN: 1119168325 ISBN-13(EAN): 9781119168324 Издательство: Wiley Рейтинг: Цена: 48520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A guide that offers a step-by-step process to data-driven qualitative multimodal discourse analysis Systematically Working with Multimodal Data is a hands-on guide that is theoretically grounded and offers a step-by-step process to clearly show how to do a data-driven qualitative Multimodal Discourse Analysis (MDA). This full-color introductory textbook is filled with helpful definitions, notes, discussion points and tasks. With illustrative research examples from YouTube, an Experimental and a Video Ethnographic Study, the text offers many examples of how to deal with small to large amounts of data, including information on how to transcribe video data multimodally, including online videos, and how to analyze the data. This textbook contains ample theory, directions for literature, and a teaching guide to help with a clear understanding of how to work with multimodal data. Contains new research data, exceptional illustrations and diagrams Offers step-by-step processes of working through examples, transcriptions and online videos Goes into great depth so that students can use the book as hands-on material to engage with their own data analysis Designed to be easy-to-use with color-coded definitions, tasks, discussion points and notes Written for advanced undergraduate, graduate and PhD level students, as well as participants in research workshops, Systematically Working with Multimodal Data is an authoritative guide to understanding data-driven qualitative Multimodal Discourse Analysis.
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
Автор: Friedhelm Schwenker; Stefan Scherer; Louis-Philipp Название: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction ISBN: 3319148982 ISBN-13(EAN): 9783319148984 Издательство: Springer Рейтинг: Цена: 37270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014.
Автор: Alejandro H?ctor Toselli; Enrique Vidal; Francisco Название: Multimodal Interactive Pattern Recognition and Applications ISBN: 1447159322 ISBN-13(EAN): 9781447159322 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Here is a different approach to pattern recognition systems, in which users of a system are involved during the recognition process, and examines a range of advanced multimodal interactions between machine and users, including handwriting, speech and gesture.
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