Multimodal Scene Understanding

Written By Michael Ying Yang
Multimodal Scene Understanding
  • Publsiher : Academic Press
  • Release : 16 July 2019
  • ISBN : 0128173599
  • Pages : 422 pages
  • Rating : /5 from reviews
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Download or read book entitled Multimodal Scene Understanding by author: Michael Ying Yang which was release on 16 July 2019 and published by Academic Press with total page 422 pages . This book available in PDF, EPUB and Kindle Format. 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 Scene Understanding

Multimodal Scene Understanding
  • Author : Michael Ying Yang,Bodo Rosenhahn,Vittorio Murino
  • Publisher : Academic Press
  • Release Date : 2019-07-16
  • Total pages : 422
  • ISBN : 0128173599
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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 ...

Multimodal Scene Understanding

Multimodal Scene Understanding
  • Author : Michael Yang,Bodo Rosenhahn,Vittorio Murino
  • Publisher : Academic Press
  • Release Date : 2019-08
  • Total pages : 525
  • ISBN : 0128173599
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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 ...

Multi modal Scene Understanding Using Probabilistic Models

Multi modal Scene Understanding Using Probabilistic Models
  • Author : Sven Wachsmuth
  • Publisher : Unknown
  • Release Date : 2001
  • Total pages : 197
  • ISBN : 0128173599
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Summary : Read online Multi modal Scene Understanding Using Probabilistic Models written by Sven Wachsmuth, published by which was released on 2001. Download full Multi modal Scene Understanding Using Probabilistic Models Books now! Available in PDF, ePub and Kindle....

Multimodal Computational Attention for Scene Understanding

Multimodal Computational Attention for Scene Understanding
  • Author : Boris Schauerte
  • Publisher : Unknown
  • Release Date : 2014
  • Total pages : 212
  • ISBN : 0128173599
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Summary : Read online Multimodal Computational Attention for Scene Understanding written by Boris Schauerte, published by which was released on 2014. Download full Multimodal Computational Attention for Scene Understanding Books now! Available in PDF, ePub and Kindle....

Multimodal Computational Attention for Scene Understanding and Robotics

Multimodal Computational Attention for Scene Understanding and Robotics
  • Author : Boris Schauerte
  • Publisher : Springer
  • Release Date : 2016-05-11
  • Total pages : 203
  • ISBN : 0128173599
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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. ...

Real time Multimodal Semantic Scene Understanding for Autonomous UGV Navigation

Real time Multimodal Semantic Scene Understanding for Autonomous UGV Navigation
  • Author : Yifei Zhang
  • Publisher : Unknown
  • Release Date : 2021
  • Total pages : 114
  • ISBN : 0128173599
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Summary : Robust semantic scene understanding is challenging due to complex object types, as well as environmental changes caused by varying illumination and weather conditions. This thesis studies the problem of deep semantic segmentation with multimodal image inputs. Multimodal images captured from various sensory modalities provide complementary information for complete scene understanding. ...

Multi Modal Scene Understanding for Robotic Grasping

Multi Modal Scene Understanding for Robotic Grasping
  • Author : Jeannette Bohg
  • Publisher : Unknown
  • Release Date : 2011
  • Total pages : 212
  • ISBN : 0128173599
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Summary : Read online Multi Modal Scene Understanding for Robotic Grasping written by Jeannette Bohg, published by which was released on 2011. Download full Multi Modal Scene Understanding for Robotic Grasping Books now! Available in PDF, ePub and Kindle....

Bayesian Scene Understanding with Object based Latent Representation and Multi modal Sensor Fusion

Bayesian Scene Understanding with Object based Latent Representation and Multi modal Sensor Fusion
  • Author : Michael A. Wallace (M. Eng.)
  • Publisher : Unknown
  • Release Date : 2021
  • Total pages : 75
  • ISBN : 0128173599
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Summary : Scene understanding systems transform observations of an environment into a representation that facilitates reasoning over that environment. In this context, many reasoning tasks benefit from a high-level, object-based scene representation; quantification of uncertainty; and multi-modal sensor fusion. Here, we present a method for scene understanding that achieves all three of ...

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
  • Author : Andrei Popescu-Belis,Steve Renals,Hervé Bourlard
  • Publisher : Springer
  • Release Date : 2008-02-22
  • Total pages : 308
  • ISBN : 0128173599
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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 ...

Multimodal Behavior Analysis in the Wild

Multimodal Behavior Analysis in the Wild
  • Author : Xavier Alameda-Pineda,Elisa Ricci,Nicu Sebe
  • Publisher : Academic Press
  • Release Date : 2018-11-13
  • Total pages : 498
  • ISBN : 0128173599
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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 ...

2016 International Symposium on Experimental Robotics

2016 International Symposium on Experimental Robotics
  • Author : Dana Kulić,Yoshihiko Nakamura,Oussama Khatib,Gentiane Venture
  • Publisher : Springer
  • Release Date : 2017-03-20
  • Total pages : 856
  • ISBN : 0128173599
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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 ...

Video Content Analysis Using Multimodal Information

Video Content Analysis Using Multimodal Information
  • Author : Ying Li,C.C. Jay Kuo
  • Publisher : Springer Science & Business Media
  • Release Date : 2003-06-30
  • Total pages : 194
  • ISBN : 0128173599
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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 ...

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
  • Author : Steve Renals,Samy Bengio
  • Publisher : Springer
  • Release Date : 2006-02-15
  • Total pages : 498
  • ISBN : 0128173599
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Summary : This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on multimodal ...

Multimodal Analysis of User Generated Multimedia Content

Multimodal Analysis of User Generated Multimedia Content
  • Author : Rajiv Shah,Roger Zimmermann
  • Publisher : Springer
  • Release Date : 2017-08-30
  • Total pages : 263
  • ISBN : 0128173599
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Summary : 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 ...

The Technology of Binaural Understanding

The Technology of Binaural Understanding
  • Author : Jens Blauert,Jonas Braasch
  • Publisher : Springer Nature
  • Release Date : 2020-08-12
  • Total pages : 815
  • ISBN : 0128173599
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Summary : Sound, devoid of meaning, would not matter to us. It is the information sound conveys that helps the brain to understand its environment. Sound and its underlying meaning are always associated with time and space. There is no sound without spatial properties, and the brain always organizes this information within ...