Description |
1 online resource (xx, 753 pages) : illustrations (some color) |
Series |
Lecture notes in computer science, 0302-9743 ; 12662 |
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LNCS sublibrary. SL6 - Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 12662. 0302-9743
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Contents |
[I]. CAIHA -- Computational and Affective Intelligence in Healthcare Applications for Vulnerable Populations: Towards Robust Deep Neural Networks for Affect and Depression Recognition from Speech / Alice Othmani, Daoud Kadoch, Kamil Bentounes, Emna Rejaibi, Romain Alfred, Abdenour Hadid -- COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study / Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan -- Multi-stream Integrated Neural Networks for Facial Expression-Based Pain Recognition / Ruicong Zhi, Caixia Zhou, Junwei Yu, Shuai Liu -- A New Facial Expression Processing System for an Affectively Aware Robot / Engin Baglayici, Cemal Gurpinar, Pinar Uluer, Hatice Kose -- Classification of Autism Spectrum Disorder Across Age Using Questionnaire and Demographic Information / SK Rahatul Jannat, Shaun Canavan -- Neonatal Pain Scales and Human Visual Perception: An Exploratory Analysis Based on Facial Expression Recognition and Eye-Tracking / Lucas Pereira Carlini, Fernanda Goyo Tamanaka, Juliana C.A. Soares, Giselle V.T. Silva, Tatiany M. Heideirich, Rita C.X. Balda et al. -- Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits / Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr. et al. -- Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor / William Romine, Noah Schroeder, Anjali Edwards, Tanvi Banerjee |
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[II]. CARE2020 -- International Workshop on pattern recognition for positive teChnology And eldeRly wEllbeing: Multimodal Physiological-based Emotion Recognition / Astha Sharma, Shaun Canavan -- Combining Deep and Unsupervised Features for Multilingual Speech Emotion Recognition / Vincenzo Scotti, Federico Galati, Licia Sbattella, Roberto Tedesco -- Towards Generating Topic-Driven and Affective Responses to Assist Mental Wellness / Manish Agnihotri, S.B. Pooja Rao, Dinesh Babu Jayagopi, Sushranth Hebbar, Sowmya Rasipuram, Anutosh Maitra et al. -- Keypoint-based Gaze Tracking / Paris Her, Logan Manderle, Philipe A. Dias, Henry Medeiros, Francesca Odone -- Multimodal Empathic Feedback Through a Virtual Character / Eleonora Chitti, Manuel Pezzera, N. Alberto Borghese -- A WebGL Virtual Reality Exergame for Assessing the Cognitive Capabilities of Elderly People: A Study About Digital Autonomy for Web-Based Applications / Manuela Chessa, Chiara Bassano, Fabio Solari -- Daily Living Activity Recognition Using Wearable Devices: A Features-Rich Dataset and a Novel Approach / Maurizio Leotta, Andrea Fasciglione, Alessandro Verri -- Deep Neural Networks for Real-Time Remote Fall Detection / Andrea Apicella, Lauro Snidaro -- Mutual Use of Semantics and Geometry for CNN-Based Object Localization in ToF Images / Antoine Vanderschueren, Victor Joos, Christophe De Vleeschouwer -- Development and Evaluation of a Mouse Emulator Using Multi-modal Real-Time Head Tracking Systems with Facial Gesture Recognition as a Switching Mechanism / Shivanand P. Guness, Farzin Deravi, Konstantinos Sirlantzis, Matthew G. Pepper, Mohammed Sakel -- A Video-Based MarkerLess Body Machine Interface: A Pilot Study / Matteo Moro, Fabio Rizzoglio, Francesca Odone, Maura Casadio |
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[III]. Visual-Textual Image Understanding and Retrieval (VTIUR) -- Joint Workshop on Content-Based Image Retrieval (CBIR 2020), Video and Image Question Answering (VIQA 2020), Texture Analysis, Classification and Retrieval (TAILOR 2020): Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era / Björn Barz, Joachim Denzler -- A Modality Converting Approach for Image Annotation to Overcome the Inconsistent Labels in Training Data Tokinori Suzuki, Daisuke Ikeda -- Iconic-Based Retrieval of Grocery Images via Siamese Neural Network / Gianluigi Ciocca, Paolo Napoletano, Simone Giuseppe Locatelli -- Garment Recommendation with Memory Augmented Neural Networks / Lavinia De Divitiis, Federico Becattini, Claudio Baecchi, Alberto Del Bimbo -- Developing a Smart PACS: CBIR System Using Deep Learning / Michela Gravina, Stefano Marrone, Gabriele Piantadosi, Vincenzo Moscato, Carlo Sansone -- Multi Color Channel vs. Multi Spectral Band Representations for Texture Classification / Nicolas Vandenbroucke, Alice Porebski -- Multi-task Learning for Supervised and Unsupervised Classification of Grocery Images Gianluigi Ciocca, Paolo Napoletano, Simone Giuseppe Locatelli -- Recent Advances in Video Question Answering: A Review of Datasets and Methods / Devshree Patel, Ratnam Parikh, Yesha Shastri -- IQ-VQA: Intelligent Visual Question Answering / Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha |
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[IV]. CVAUI 2020 -- 4th Workshop on Computer Vision for Analysis of Underwater Imagery: Deep Sea Robotic Imaging Simulator / Yifan Song, David Nakath, Mengkun She, Furkan Elibol, Kevin Köser -- Optimization of Multi-LED Setups for Underwater Robotic Vision Systems / Yifan Song, Jan Sticklus, David Nakath, Emanuel Wenzlaff, Reinhard Koch, Kevin Köser -- Learning Visual Free Space Detection for Deep-Diving Robots / Nikhitha Shivaswamy, Tom Kwasnitschka, Kevin Köser -- Removal of Floating Particles from Underwater Images Using Image Transformation Networks / Lei Li, Takashi Komuro, Koichiro Enomoto, Masashi Toda -- Video-Based Hierarchical Species Classification for Longline Fishing Monitoring / Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig Rose, Braden Moore, Kelsey Magrane -- Robust Fish Enumeration by Multiple Object Tracking in Overhead Videos / Hung-Min Hsu, Ziyi Xie, Jenq-Neng Hwang, Andrew Berdahl |
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[V]. DEEPRETAIL 2020 -- Workshop on Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail Environments 2020: 3D Vision-Based Shelf Monitoring System for Intelligent Retail / Annalisa Milella, Roberto Marani, Antonio Petitti, Grazia Cicirelli, Tiziana D'Orazio -- Faithful Fit, Markerless, 3D Eyeglasses Virtual Try-On / Davide Marelli, Simone Bianco, Gianluigi Ciocca -- Performance Assessment of Face Analysis Algorithms with Occluded Faces / Antonio Greco, Alessia Saggese, Mario Vento, Vincenzo Vigilante -- Who Is in the Crowd? Deep Face Analysis for Crowd Understanding / Simone Bianco, Luigi Celona, Raimondo Schettini -- A Saliency-Based Technique for Advertisement Layout Optimisation to Predict Customers' Behaviour / Alessandro Bruno, Stéphane Lancette, Jinglu Zhang, Morgan Moore, Ville P. Ward, Jian Chang -- Data-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry / Luca Marinelli, Marina Paolanti, Lorenzo Nardi, Patrizia Gabellini, Emanuele Frontoni, Gian Luca Gregori -- People Counting on Low Cost Embedded Hardware During the SARS-CoV-2 Pandemic / Giulia Pazzaglia, Marco Mameli, Luca Rossi, Marina Paolanti, Adriano Mancini, Primo Zingaretti et al. -- Shoppers Detection Analysis in an Intelligent Retail Environment / Laura Della Sciucca, Davide Manco, Marco Contigiani, Rocco Pietrini, Luigi Di Bello, Valerio Placidi |
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[VI]. DLPR -- Deep Learning for Pattern Recognition: Recurrent Graph Convolutional Network for Skeleton-Based Abnormal Driving Behavior Recognition / Shun Wang, Fang Zhou, Song-Lu Chen, Chun Yang -- Supervised Autoencoder Variants for End to End Anomaly Detection / Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage -- Fuzzy-Based Pseudo Segmentation Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention / Rajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker, Ram Sarkar -- Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak, Roshanak Roshandel, Pejman Khadivi, Nader Karimi et al. -- DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences / Rezaei Behnaz, Farnoosh Amirreza, Sarah Ostadabbas -- Tracker Evaluation for Small Object Tracking / Chang Liu, Chunlei Liu, Linlin Yang, Baochang Zhang -- DepthOBJ: A Synthetic Dataset for 3D Mesh Model Retrieval / Francesco Carrabino, Lauro Snidaro -- GFTE: Graph-Based Financial Table Extraction / Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu -- Relative Attribute Classification with Deep-RankSVM / Sara Atito Ali Ahmed, Berrin Yanikoglu -- Adversarial Continuous Learning in Unsupervised Domain Adaptation / Youshan Zhang, Brian D. Davison -- A Survey of Deep Learning Based Fully Automatic Bone Age Assessment Algorithms / Yang Jia, Hanrong Du, Haijuan Wang, Weiguang Chen, Xiaohui Jin, Wei Qi et al. -- Unsupervised Real-World Super-resolution Using Variational Auto-encoder and Generative Adversarial Network / Kalpesh Prajapati, Vishal Chudasama, Heena Patel, Kishor Upla, Kiran Raja, Raghavendra Ramachandra et al |
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Training of Multiple and Mixed Tasks with a Single Network Using Feature Modulation / Mana Takeda, Gibran Benitez, Keiji Yana -- Deep Image Clustering Using Self-learning Optimization in a Variational Auto-Encoder / Duc Hoa Tran, Michel Meunier, Farida Cheriet |
Summary |
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020 |
Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed March 25, 2021) |
In |
Springer Nature eBook |
Subject |
Computer vision -- Congresses
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Pattern recognition systems -- Congresses
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Pattern perception -- Congresses
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Artificial intelligence -- Congresses
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Optical data processing.
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Application software.
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Machine learning.
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Education -- Data processing.
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Machine Learning
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Application software
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Artificial intelligence
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Computer vision
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Education -- Data processing
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Machine learning
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Optical data processing
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Pattern perception
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Pattern recognition systems
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Del Bimbo, Alberto, editor.
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Cucchiara, Rita, editor.
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Sclaroff, Stan, editor
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Farinella, Giovanni Maria, editor
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Mei, Tao, editor
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Bertini, Marco, editor
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Escalante, Hugo Jair, editor.
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Vezzani, Roberto, editor
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ISBN |
9783030687908 |
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3030687902 |
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