1# Library to Find Best eBook for Read
Author : Boris Schauerte
Release : 2014
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Multimodal Computational Attention for Scene Understanding by : Boris Schauerte
Download or read book Multimodal Computational Attention for Scene Understanding written by Boris Schauerte. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Boris Schauerte
Release : 2016-05-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 963/5 ( reviews)
Book Synopsis Multimodal Computational Attention for Scene Understanding and Robotics by : Boris Schauerte
Download or read book Multimodal Computational Attention for Scene Understanding and Robotics written by Boris Schauerte. This book was released on 2016-05-11. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Michael Ying Yang
Release : 2019-07-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 599/5 ( reviews)
Book Synopsis Multimodal Scene Understanding by : Michael Ying Yang
Download or read book Multimodal Scene Understanding written by Michael Ying Yang. This book was released on 2019-07-16. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Grotz, Markus
Release : 2021-12-21
Genre : Computers
Kind : eBook
Book Rating : 010/5 ( reviews)
Book Synopsis Active Vision for Scene Understanding by : Grotz, Markus
Download or read book Active Vision for Scene Understanding written by Grotz, Markus. This book was released on 2021-12-21. Available in PDF, EPUB and Kindle. Book excerpt: Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene.
Author : Matei Mancas
Release : 2016-06-29
Genre : Medical
Kind : eBook
Book Rating : 35X/5 ( reviews)
Book Synopsis From Human Attention to Computational Attention by : Matei Mancas
Download or read book From Human Attention to Computational Attention written by Matei Mancas. This book was released on 2016-06-29. Available in PDF, EPUB and Kindle. Book excerpt: This both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines. What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from this book’s introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value in this book, from students to researchers and those in industry.
