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Multimodal Scene Understanding

Multimodal Scene Understanding
  • Author : Michael Ying Yang,Bodo Rosenhahn,Vittorio Murino
  • Publisher :Unknown
  • Release Date :2019-07-16
  • Total pages :422
  • ISBN : 9780128173596
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Summary : Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. Contains state-of-the-art developments on multi-modal computing Shines a focus on algorithms and applications Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Multimodal Computational Attention for Scene Understanding and Robotics

Multimodal Computational Attention for Scene Understanding and Robotics
  • Author : Boris Schauerte
  • Publisher :Unknown
  • Release Date :2016-05-11
  • Total pages :203
  • ISBN : 9783319337968
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Summary : This book presents state-of-the-art computational attention models that have been successfully tested in diverse application areas and can build the foundation for artificial systems to efficiently explore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recent computational attention models for processing visual and acoustic input. It covers the biological background of visual and auditory attention, as well as bottom-up and top-down attentional mechanisms and discusses various applications. In the first part new approaches for bottom-up visual and acoustic saliency models are presented and applied to the task of audio-visual scene exploration of a robot. In the second part the influence of top-down cues for attention modeling is investigated.

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
  • Author : Andrei Popescu-Belis,Steve Renals,Hervé Bourlard
  • Publisher :Unknown
  • Release Date :2008-02-22
  • Total pages :308
  • ISBN : 9783540781554
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Summary : This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations. The papers are organized in topical sections on multimodal processing, HCI, user studies and applications, image and video processing, discourse and dialogue processing, speech and audio processing, as well as the PASCAL speech separation challenge.

Multimodal Behavior Analysis in the Wild

Multimodal Behavior Analysis in the Wild
  • Author : Xavier Alameda-Pineda,Elisa Ricci,Nicu Sebe
  • Publisher :Unknown
  • Release Date :2018-11-13
  • Total pages :498
  • ISBN : 9780128146026
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Summary : Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of- the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio and video modalities, while also emphasizing emerging modalities, such as accelerometer or proximity data. It covers tasks at different levels of complexity, from low level (speaker detection, sensorimotor links, source separation), through middle level (conversational group detection, addresser and addressee identification), and high level (personality and emotion recognition), providing insights on how to exploit inter-level and intra-level links. This is a valuable resource on the state-of-the- art and future research challenges of multi-modal behavioral analysis in the wild. It is suitable for researchers and graduate students in the fields of computer vision, audio processing, pattern recognition, machine learning and social signal processing. Gives a comprehensive collection of information on the state-of-the-art, limitations, and challenges associated with extracting behavioral cues from real-world scenarios Presents numerous applications on how different behavioral cues have been successfully extracted from different data sources Provides a wide variety of methodologies used to extract behavioral cues from multi-modal data

2016 International Symposium on Experimental Robotics

2016 International Symposium on Experimental Robotics
  • Author : Dana Kulić,Yoshihiko Nakamura,Oussama Khatib,Gentiane Venture
  • Publisher :Unknown
  • Release Date :2017-03-20
  • Total pages :856
  • ISBN : 9783319501154
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Summary : Experimental Robotics XV is the collection of papers presented at the International Symposium on Experimental Robotics, Roppongi, Tokyo, Japan on October 3-6, 2016. 73 scientific papers were selected and presented after peer review. The papers span a broad range of sub-fields in robotics including aerial robots, mobile robots, actuation, grasping, manipulation, planning and control and human-robot interaction, but shared cutting-edge approaches and paradigms to experimental robotics. The readers will find a breadth of new directions of experimental robotics. The International Symposium on Experimental Robotics is a series of bi-annual symposia sponsored by the International Foundation of Robotics Research, whose goal is to provide a forum dedicated to experimental robotics research. Robotics has been widening its scientific scope, deepening its methodologies and expanding its applications. However, the significance of experiments remains and will remain at the center of the discipline. The ISER gatherings are a venue where scientists can gather and talk about robotics based on this central tenet.

Integrated Uncertainty in Knowledge Modelling and Decision Making

Integrated Uncertainty in Knowledge Modelling and Decision Making
  • Author : Zengchang Qin,Van-Nam Huynh
  • Publisher :Unknown
  • Release Date :2013-06-20
  • Total pages :219
  • ISBN : 9783642395154
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Summary : This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.

Computer Vision – ECCV 2012

Computer Vision – ECCV 2012
  • Author : Andrew Fitzgibbon,Svetlana Lazebnik,Pietro Perona,Yoichi Sato,Cordelia Schmid
  • Publisher :Unknown
  • Release Date :2012-09-26
  • Total pages :893
  • ISBN : 9783642337833
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Summary : The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision
  • Author : Zhouchen Lin,Liang Wang,Jian Yang,Guangming Shi,Tieniu Tan,Nanning Zheng,Xilin Chen,Yanning Zhang
  • Publisher :Unknown
  • Release Date :2019-10-31
  • Total pages :813
  • ISBN : 9783030317232
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Summary : The three-volume set LNCS 11857, 11858, and 11859 constitutes the refereed proceedings of the Second Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019, held in Xi’an, China, in November 2019. The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.

Fusion in Computer Vision

Fusion in Computer Vision
  • Author : Bogdan Ionescu,Jenny Benois-Pineau,Tomas Piatrik,Georges Quénot
  • Publisher :Unknown
  • Release Date :2014-03-25
  • Total pages :272
  • ISBN : 9783319056968
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Summary : This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.

Handbook of Neural Computation

Handbook of Neural Computation
  • Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
  • Publisher :Unknown
  • Release Date :2017-07-18
  • Total pages :658
  • ISBN : 9780128113196
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Summary : Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Intelligent Systems Technologies and Applications 2016

Intelligent Systems Technologies and Applications 2016
  • Author : Juan Manuel Corchado Rodriguez,Sushmita Mitra,Sabu M. Thampi,El-Sayed El-Alfy
  • Publisher :Unknown
  • Release Date :2016-09-19
  • Total pages :1019
  • ISBN : 9783319479521
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Summary : This book constitutes the thoroughly refereed proceedings of the second International Symposium on Intelligent Systems Technologies and Applications (ISTA’16), held on September 21–24, 2016 in Jaipur, India. The 80 revised papers presented were carefully reviewed and selected from 210 initial submissions and are organized in topical sections on image processing and artificial vision, computer networks and distributed systems, intelligent tools and techniques and applications using intelligent techniques.

Handbook of Deep Learning Applications

Handbook of Deep Learning Applications
  • Author : Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
  • Publisher :Unknown
  • Release Date :2019-02-25
  • Total pages :383
  • ISBN : 9783030114794
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Summary : This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Group and Crowd Behavior for Computer Vision

Group and Crowd Behavior for Computer Vision
  • Author : Vittorio Murino,Marco Cristani,Shishir Shah,Silvio Savarese
  • Publisher :Unknown
  • Release Date :2017-04-18
  • Total pages :438
  • ISBN : 9780128092804
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Summary : Group and Crowd Behavior for Computer Vision provides a multidisciplinary perspective on how to solve the problem of group and crowd analysis and modeling, combining insights from the social sciences with technological ideas in computer vision and pattern recognition. The book answers many unresolved issues in group and crowd behavior, with Part One providing an introduction to the problems of analyzing groups and crowds that stresses that they should not be considered as completely diverse entities, but as an aggregation of people. Part Two focuses on features and representations with the aim of recognizing the presence of groups and crowds in image and video data. It discusses low level processing methods to individuate when and where a group or crowd is placed in the scene, spanning from the use of people detectors toward more ad-hoc strategies to individuate group and crowd formations. Part Three discusses methods for analyzing the behavior of groups and the crowd once they have been detected, showing how to extract semantic information, predicting/tracking the movement of a group, the formation or disaggregation of a group/crowd and the identification of different kinds of groups/crowds depending on their behavior. The final section focuses on identifying and promoting datasets for group/crowd analysis and modeling, presenting and discussing metrics for evaluating the pros and cons of the various models and methods. This book gives computer vision researcher techniques for segmentation and grouping, tracking and reasoning for solving group and crowd modeling and analysis, as well as more general problems in computer vision and machine learning. Presents the first book to cover the topic of modeling and analysis of groups in computer vision Discusses the topics of group and crowd modeling from a cross-disciplinary perspective, using social science anthropological theories translated into computer vision algorithms Focuses on group and crowd analysis metrics Discusses real industrial systems dealing with the problem of analyzing groups and crowds

Multimodal Video Characterization and Summarization

Multimodal Video Characterization and Summarization
  • Author : Michael A. Smith,Takeo Kanade
  • Publisher :Unknown
  • Release Date :2006-01-27
  • Total pages :204
  • ISBN : 9780387230085
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Summary : Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field. This book describes the methodology for using multimodal audio, image, and text technology to characterize video content. This new and groundbreaking science has led to many advances in video understanding, such as the development of a video summary. Applications and methodology for creating video summaries are described, as well as user-studies for evaluation and testing.

International Conference on Multimodal Interfaces

International Conference on Multimodal Interfaces
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2006
  • Total pages :229
  • ISBN : UOM:39015058904395
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Summary :

Sounding Composition

Sounding Composition
  • Author : Steph Ceraso
  • Publisher :Unknown
  • Release Date :2018-07-20
  • Total pages :176
  • ISBN : 9780822983446
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Summary : In Sounding Composition Steph Ceraso reimagines listening education to account for twenty-first-century sonic practices and experiences. Sonic technologies such as audio editing platforms and music software allow students to control sound in ways that were not always possible for the average listener. While digital technologies have presented new opportunities for teaching listening in relation to composing, they also have resulted in a limited understanding of how sound works in the world at large. Ceraso offers an expansive approach to sonic pedagogy through the concept of multimodal listening—a practice that involves developing an awareness of how sound shapes and is shaped by different contexts, material objects, and bodily, multisensory experiences. Through a mix of case studies and pedagogical materials, she demonstrates how multimodal listening enables students to become more savvy consumers and producers of sound in relation to composing digital media, and in their everyday lives.

Video Content Analysis Using Multimodal Information

Video Content Analysis Using Multimodal Information
  • Author : Ying Li,C.C. Jay Kuo
  • Publisher :Unknown
  • Release Date :2013-04-17
  • Total pages :194
  • ISBN : 9781475737127
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Summary : 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.

Computer Vision – ACCV 2018 Workshops

Computer Vision – ACCV 2018 Workshops
  • Author : Gustavo Carneiro,Shaodi You
  • Publisher :Unknown
  • Release Date :2019-06-18
  • Total pages :541
  • ISBN : 9783030210748
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Summary : This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).

Multimodal Surveillance

Multimodal Surveillance
  • Author : Dr. Zhigang Zhu,Thomas S. Huang
  • Publisher :Unknown
  • Release Date :2007
  • Total pages :428
  • ISBN : STANFORD:36105123309374
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Summary : This resource brings together the multimodal surveillance fields leading experts, who guide researchers, designers, engineers, and developers through this multifaceted technology. It discusses the latest high-end sensors for extremely accurate surveillance, as well as low-cost sensing solutions.

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
  • Author : Ilias Maglogiannis,Kostas Karpouzis
  • Publisher :Unknown
  • Release Date :2006-05-18
  • Total pages :744
  • ISBN : 9780387342238
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Summary : Artificial Intelligence applications build on a rich and proven theoretical background to provide solutions to a wide range of real life problems. The ever expanding abundance of information and computing power enables researchers and users to tackle higly interesting issues for the first time, such as applications providing personalized access and interactivity to multimodal information based on preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The purpose of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) is to bring together researchers, engineers, and practitioners interested in the technical advances and business and industrial applications of intelligent systems. AIAI 2006 is focused on providing insights on how AI can be implemented in real world applications.

Identity in (Inter)action

Identity in (Inter)action
  • Author : Sigrid Norris
  • Publisher :Unknown
  • Release Date :2011-07-27
  • Total pages :316
  • ISBN : 9781934078280
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Summary : In this monograph, the author offers a new way of examining the much discussed notion of identity through the theoretical and methodological approach called multimodal interaction analysis. Moving beyond a traditional discourse analysis focus on spoken language, this book expands our understanding of identity construction by looking both at language and its intersection with such paralinguistic features as gesture, as well as how we use space in interaction. The author illustrates this new approach through an extended ethnographic study of two women living in Germany. Examples of their everyday interactions elucidate how multimodal interaction analysis can be used to extend our understanding of how identity is produced and negotiated in context from a more holistic point of view.