LEADER 04933nam 22006615 450 001 9910502625703321 005 20230224020831.0 010 $a3-030-87156-8 024 7 $a10.1007/978-3-030-87156-7 035 $a(CKB)4940000000612094 035 $a(MiAaPQ)EBC6729674 035 $a(Au-PeEL)EBL6729674 035 $a(OCoLC)1268683928 035 $a(DE-He213)978-3-030-87156-7 035 $a(PPN)258051698 035 $a(EXLCZ)994940000000612094 100 $a20210918d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision Systems $e13th International Conference, ICVS 2021, Virtual Event, September 22-24, 2021, Proceedings /$fedited by Markus Vincze, Timothy Patten, Henrik I Christensen, Lazaros Nalpantidis, Ming Liu 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (263 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12899 311 $a3-030-87155-X 327 $aAttention 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 ?aps and Visual ?mbeddings -- 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. 330 $aThis book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12899 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aPattern recognition systems 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aAutomated Pattern Recognition 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aPattern recognition systems. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aAutomated Pattern Recognition. 676 $a006.37 702 $aVincze$b Markus$f1965- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502625703321 996 $aComputer Vision Systems$9772710 997 $aUNINA