| TÃtulo : |
Computer Vision Systems : 13th International Conference, ICVS 2021, Virtual Event, September 22-24, 2021, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Vincze, Markus, ; Patten, Timothy, ; Christensen, Henrik I., ; Nalpantidis, Lazaros, ; Liu, Ming, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XI, 259 p. 92 ilustraciones, 84 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-87156-7 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Sistemas de reconocimiento de patrones IngenierÃa Informática y Redes Reconocimiento de patrones automatizado |
| Clasificación: |
006.37 |
| Resumen: |
Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Sistemas de Visión por Computadora, ICVS 2021, celebrada en septiembre de 2021. Debido a la pandemia de COVID-19, la conferencia se celebró de forma virtual. Los 20 artÃculos presentados fueron cuidadosamente revisados ​​y seleccionados entre 29 presentaciones. cubren un amplio espectro de cuestiones que se incluyen en el ámbito más amplio de la visión por computadora en aplicaciones del mundo real, incluidos, entre otros, sistemas de visión para robótica, vehÃculos autónomos, agricultura y medicina. En este volumen, los artÃculos se organizan en las secciones: sistemas de atención; clasificación y detección; interpretación semántica; análisis de vÃdeo y movimiento; Sistemas de visión por ordenador en la agricultura. |
| Nota de contenido: |
Attention Systems -- Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields -- MARL: Multimodal Attentional Representation Learning for Disease Prediction -- Object Localization with Attribute Preference based on Top-Down Attention -- See the silence: improving visual-only voice activity detection by optical flow and RGB fusion -- Classification and Detection -- Score to Learn: a Comparative Analysis of Scoring Functions for Active Learning in Robotics -- Enhancing the performance of image classification through features automatically learned from depth-maps -- Object Detection on TPU Accelerated Embedded Devices -- Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification -- Semantic Interpretation -- Measuring the Sim2Real gap in 3D Object classification for different 3D data representation -- Spatially-Constrained Semantic Segmentation with Topological Μaps and Visual Εmbeddings -- Knowledge-enabled generation of semantically annotated image sequences of manipulation activities from VR demonstrations -- Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts -- Video and Motion Analysis -- Video Popularity Prediction through Fusing Early Viewership with Video Content -- Action Prediction during Human-Object Interaction based on DTW and Early Fusion of Human and Object Representations -- GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids -- An Efficient Video Desnowing and Deraining Method with a Novel Variant Dataset -- Computer Vision Systems in Agriculture -- Robust Counting of Soft Fruit through Occlusions with Re-identification -- Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture -- Learning Image-based Contaminant Detection in Wool Fleece from Noisy Annotations -- Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network's Feature Pyramid Levels. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Computer Vision Systems : 13th International Conference, ICVS 2021, Virtual Event, September 22-24, 2021, Proceedings [documento electrónico] / Vincze, Markus, ; Patten, Timothy, ; Christensen, Henrik I., ; Nalpantidis, Lazaros, ; Liu, Ming, . - 1 ed. . - [s.l.] : Springer, 2021 . - XI, 259 p. 92 ilustraciones, 84 ilustraciones en color. ISBN : 978-3-030-87156-7 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Sistemas de reconocimiento de patrones IngenierÃa Informática y Redes Reconocimiento de patrones automatizado |
| Clasificación: |
006.37 |
| Resumen: |
Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Sistemas de Visión por Computadora, ICVS 2021, celebrada en septiembre de 2021. Debido a la pandemia de COVID-19, la conferencia se celebró de forma virtual. Los 20 artÃculos presentados fueron cuidadosamente revisados ​​y seleccionados entre 29 presentaciones. cubren un amplio espectro de cuestiones que se incluyen en el ámbito más amplio de la visión por computadora en aplicaciones del mundo real, incluidos, entre otros, sistemas de visión para robótica, vehÃculos autónomos, agricultura y medicina. En este volumen, los artÃculos se organizan en las secciones: sistemas de atención; clasificación y detección; interpretación semántica; análisis de vÃdeo y movimiento; Sistemas de visión por ordenador en la agricultura. |
| Nota de contenido: |
Attention Systems -- Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields -- MARL: Multimodal Attentional Representation Learning for Disease Prediction -- Object Localization with Attribute Preference based on Top-Down Attention -- See the silence: improving visual-only voice activity detection by optical flow and RGB fusion -- Classification and Detection -- Score to Learn: a Comparative Analysis of Scoring Functions for Active Learning in Robotics -- Enhancing the performance of image classification through features automatically learned from depth-maps -- Object Detection on TPU Accelerated Embedded Devices -- Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification -- Semantic Interpretation -- Measuring the Sim2Real gap in 3D Object classification for different 3D data representation -- Spatially-Constrained Semantic Segmentation with Topological Μaps and Visual Εmbeddings -- Knowledge-enabled generation of semantically annotated image sequences of manipulation activities from VR demonstrations -- Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts -- Video and Motion Analysis -- Video Popularity Prediction through Fusing Early Viewership with Video Content -- Action Prediction during Human-Object Interaction based on DTW and Early Fusion of Human and Object Representations -- GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids -- An Efficient Video Desnowing and Deraining Method with a Novel Variant Dataset -- Computer Vision Systems in Agriculture -- Robust Counting of Soft Fruit through Occlusions with Re-identification -- Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture -- Learning Image-based Contaminant Detection in Wool Fleece from Noisy Annotations -- Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network's Feature Pyramid Levels. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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