001434700 000__ 13658cam\a2200973\i\4500 001434700 001__ 1434700 001434700 003__ OCoLC 001434700 005__ 20230309003814.0 001434700 006__ m\\\\\o\\d\\\\\\\\ 001434700 007__ cr\un\nnnunnun 001434700 008__ 210222s2021\\\\sz\a\\\\o\\\\\101\0\eng\d 001434700 019__ $$a1244121470$$a1249943596 001434700 020__ $$a9783030687908$$q(electronic bk.) 001434700 020__ $$a3030687902$$q(electronic bk.) 001434700 020__ $$z9783030687892 001434700 0247_ $$a10.1007/978-3-030-68790-8$$2doi 001434700 035__ $$aSP(OCoLC)1241066755 001434700 040__ $$aDKU$$beng$$erda$$epn$$cDKU$$dOCLCO$$dGZM$$dGW5XE$$dOCLCO$$dEBLCP$$dDCT$$dOCLCF$$dUKAHL$$dDKU$$dLEATE$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ 001434700 049__ $$aISEA 001434700 050_4 $$aTA1634 001434700 08204 $$a006.3/7$$223 001434700 1112_ $$aInternational Conference on Pattern Recognition$$n(25th :$$d2021 :$$cOnline) 001434700 24510 $$aPattern Recognition :$$bICPR International Workshops and Challenges, virtual event, January 10-15, 2021, proceedings.$$nPart II /$$cAlberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani (eds.). 001434700 2463_ $$aICPR 2020 001434700 2463_ $$aICPR International Workshops and Challenges 001434700 264_1 $$aCham :$$bSpringer,$$c[2021] 001434700 300__ $$a1 online resource (xx, 753 pages) :$$billustrations (some color) 001434700 336__ $$atext$$btxt$$2rdacontent 001434700 337__ $$acomputer$$bc$$2rdamedia 001434700 338__ $$aonline resource$$bcr$$2rdacarrier 001434700 347__ $$atext file 001434700 347__ $$bPDF 001434700 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v12662 001434700 4901_ $$aLNCS sublibrary. SL6 - Image processing, computer vision, pattern recognition, and graphics 001434700 500__ $$aInternational conference proceedings. 001434700 500__ $$aIncludes author index. 001434700 50580 $$g[I].$$tCAIHA -- Computational and Affective Intelligence in Healthcare Applications for Vulnerable Populations:$$tTowards Robust Deep Neural Networks for Affect and Depression Recognition from Speech /$$rAlice Othmani, Daoud Kadoch, Kamil Bentounes, Emna Rejaibi, Romain Alfred, Abdenour Hadid --$$tCOVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study /$$rAmanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan --$$tMulti-stream Integrated Neural Networks for Facial Expression-Based Pain Recognition /$$rRuicong Zhi, Caixia Zhou, Junwei Yu, Shuai Liu --$$tA New Facial Expression Processing System for an Affectively Aware Robot /$$rEngin Baglayici, Cemal Gurpinar, Pinar Uluer, Hatice Kose --$$tClassification of Autism Spectrum Disorder Across Age Using Questionnaire and Demographic Information /$$rSK Rahatul Jannat, Shaun Canavan --$$tNeonatal Pain Scales and Human Visual Perception: An Exploratory Analysis Based on Facial Expression Recognition and Eye-Tracking /$$rLucas Pereira Carlini, Fernanda Goyo Tamanaka, Juliana C.A. Soares, Giselle V.T. Silva, Tatiany M. Heideirich, Rita C.X. Balda et al. --$$tPain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits /$$rSwati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr. et al. --$$tLongitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor /$$rWilliam Romine, Noah Schroeder, Anjali Edwards, Tanvi Banerjee. 001434700 50580 $$g[II].$$tCARE2020 -- International Workshop on pattern recognition for positive teChnology And eldeRly wEllbeing:$$tMultimodal Physiological-based Emotion Recognition /$$rAstha Sharma, Shaun Canavan --$$tCombining Deep and Unsupervised Features for Multilingual Speech Emotion Recognition /$$rVincenzo Scotti, Federico Galati, Licia Sbattella, Roberto Tedesco --$$tTowards Generating Topic-Driven and Affective Responses to Assist Mental Wellness /$$rManish Agnihotri, S.B. Pooja Rao, Dinesh Babu Jayagopi, Sushranth Hebbar, Sowmya Rasipuram, Anutosh Maitra et al. --$$tKeypoint-based Gaze Tracking /$$rParis Her, Logan Manderle, Philipe A. Dias, Henry Medeiros, Francesca Odone --$$tMultimodal Empathic Feedback Through a Virtual Character /$$rEleonora Chitti, Manuel Pezzera, N. Alberto Borghese --$$tA WebGL Virtual Reality Exergame for Assessing the Cognitive Capabilities of Elderly People: A Study About Digital Autonomy for Web-Based Applications /$$rManuela Chessa, Chiara Bassano, Fabio Solari --$$tDaily Living Activity Recognition Using Wearable Devices: A Features-Rich Dataset and a Novel Approach /$$rMaurizio Leotta, Andrea Fasciglione, Alessandro Verri --$$tDeep Neural Networks for Real-Time Remote Fall Detection /$$rAndrea Apicella, Lauro Snidaro --$$tMutual Use of Semantics and Geometry for CNN-Based Object Localization in ToF Images /$$rAntoine Vanderschueren, Victor Joos, Christophe De Vleeschouwer --$$tDevelopment and Evaluation of a Mouse Emulator Using Multi-modal Real-Time Head Tracking Systems with Facial Gesture Recognition as a Switching Mechanism /$$rShivanand P. Guness, Farzin Deravi, Konstantinos Sirlantzis, Matthew G. Pepper, Mohammed Sakel --$$tA Video-Based MarkerLess Body Machine Interface: A Pilot Study /$$rMatteo Moro, Fabio Rizzoglio, Francesca Odone, Maura Casadio. 001434700 50580 $$g[III].$$tVisual-Textual Image Understanding and Retrieval (VTIUR) -- Joint Workshop on Content-Based Image Retrieval (CBIR 2020), Video and Image Question Answering (VIQA 2020), Texture Analysis, Classification and Retrieval (TAILOR 2020):$$tContent-Based Image Retrieval and the Semantic Gap in the Deep Learning Era /$$rBjörn Barz, Joachim Denzler --$$tA Modality Converting Approach for Image Annotation to Overcome the Inconsistent Labels in Training Data$$rTokinori Suzuki, Daisuke Ikeda --$$tIconic-Based Retrieval of Grocery Images via Siamese Neural Network /$$rGianluigi Ciocca, Paolo Napoletano, Simone Giuseppe Locatelli --$$tGarment Recommendation with Memory Augmented Neural Networks /$$rLavinia De Divitiis, Federico Becattini, Claudio Baecchi, Alberto Del Bimbo --$$tDeveloping a Smart PACS: CBIR System Using Deep Learning /$$rMichela Gravina, Stefano Marrone, Gabriele Piantadosi, Vincenzo Moscato, Carlo Sansone --$$tMulti Color Channel vs. Multi Spectral Band Representations for Texture Classification /$$rNicolas Vandenbroucke, Alice Porebski --$$tMulti-task Learning for Supervised and Unsupervised Classification of Grocery Images$$rGianluigi Ciocca, Paolo Napoletano, Simone Giuseppe Locatelli --$$tRecent Advances in Video Question Answering: A Review of Datasets and Methods /$$rDevshree Patel, Ratnam Parikh, Yesha Shastri --$$tIQ-VQA: Intelligent Visual Question Answering /$$rVatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha. 001434700 50580 $$g[IV].$$tCVAUI 2020 -- 4th Workshop on Computer Vision for Analysis of Underwater Imagery:$$tDeep Sea Robotic Imaging Simulator /$$rYifan Song, David Nakath, Mengkun She, Furkan Elibol, Kevin Köser --$$tOptimization of Multi-LED Setups for Underwater Robotic Vision Systems /$$rYifan Song, Jan Sticklus, David Nakath, Emanuel Wenzlaff, Reinhard Koch, Kevin Köser --$$tLearning Visual Free Space Detection for Deep-Diving Robots /$$rNikhitha Shivaswamy, Tom Kwasnitschka, Kevin Köser --$$tRemoval of Floating Particles from Underwater Images Using Image Transformation Networks /$$rLei Li, Takashi Komuro, Koichiro Enomoto, Masashi Toda --$$tVideo-Based Hierarchical Species Classification for Longline Fishing Monitoring /$$rJie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig Rose, Braden Moore, Kelsey Magrane --$$tRobust Fish Enumeration by Multiple Object Tracking in Overhead Videos /$$rHung-Min Hsu, Ziyi Xie, Jenq-Neng Hwang, Andrew Berdahl. 001434700 50580 $$g[V].$$tDEEPRETAIL 2020 -- Workshop on Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail Environments 2020:$$t3D Vision-Based Shelf Monitoring System for Intelligent Retail /$$rAnnalisa Milella, Roberto Marani, Antonio Petitti, Grazia Cicirelli, Tiziana D'Orazio --$$tFaithful Fit, Markerless, 3D Eyeglasses Virtual Try-On /$$rDavide Marelli, Simone Bianco, Gianluigi Ciocca --$$tPerformance Assessment of Face Analysis Algorithms with Occluded Faces /$$rAntonio Greco, Alessia Saggese, Mario Vento, Vincenzo Vigilante --$$tWho Is in the Crowd? Deep Face Analysis for Crowd Understanding /$$rSimone Bianco, Luigi Celona, Raimondo Schettini --$$tA Saliency-Based Technique for Advertisement Layout Optimisation to Predict Customers' Behaviour /$$rAlessandro Bruno, Stéphane Lancette, Jinglu Zhang, Morgan Moore, Ville P. Ward, Jian Chang --$$tData-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry /$$rLuca Marinelli, Marina Paolanti, Lorenzo Nardi, Patrizia Gabellini, Emanuele Frontoni, Gian Luca Gregori --$$tPeople Counting on Low Cost Embedded Hardware During the SARS-CoV-2 Pandemic /$$rGiulia Pazzaglia, Marco Mameli, Luca Rossi, Marina Paolanti, Adriano Mancini, Primo Zingaretti et al. --$$tShoppers Detection Analysis in an Intelligent Retail Environment /$$rLaura Della Sciucca, Davide Manco, Marco Contigiani, Rocco Pietrini, Luigi Di Bello, Valerio Placidi. 001434700 50580 $$g[VI].$$tDLPR -- Deep Learning for Pattern Recognition:$$tRecurrent Graph Convolutional Network for Skeleton-Based Abnormal Driving Behavior Recognition /$$rShun Wang, Fang Zhou, Song-Lu Chen, Chun Yang --$$tSupervised Autoencoder Variants for End to End Anomaly Detection /$$rMax Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage --$$tFuzzy-Based Pseudo Segmentation Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention /$$rRajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker, Ram Sarkar --$$tBifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images$$rParham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak, Roshanak Roshandel, Pejman Khadivi, Nader Karimi et al. --$$tDeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences /$$tRezaei Behnaz, Farnoosh Amirreza, Sarah Ostadabbas --$$tTracker Evaluation for Small Object Tracking /$$rChang Liu, Chunlei Liu, Linlin Yang, Baochang Zhang --$$tDepthOBJ: A Synthetic Dataset for 3D Mesh Model Retrieval /$$rFrancesco Carrabino, Lauro Snidaro --$$tGFTE: Graph-Based Financial Table Extraction /$$rYiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu --$$tRelative Attribute Classification with Deep-RankSVM /$$rSara Atito Ali Ahmed, Berrin Yanikoglu --$$tAdversarial Continuous Learning in Unsupervised Domain Adaptation /$$rYoushan Zhang, Brian D. Davison --$$tA Survey of Deep Learning Based Fully Automatic Bone Age Assessment Algorithms /$$rYang Jia, Hanrong Du, Haijuan Wang, Weiguang Chen, Xiaohui Jin, Wei Qi et al. --$$tUnsupervised Real-World Super-resolution Using Variational Auto-encoder and Generative Adversarial Network /$$rKalpesh Prajapati, Vishal Chudasama, Heena Patel, Kishor Upla, Kiran Raja, Raghavendra Ramachandra et al. 001434700 50580 $$tTraining of Multiple and Mixed Tasks with a Single Network Using Feature Modulation /$$rMana Takeda, Gibran Benitez, Keiji Yana --$$tDeep Image Clustering Using Self-learning Optimization in a Variational Auto-Encoder /$$rDuc Hoa Tran, Michel Meunier, Farida Cheriet. 001434700 506__ $$aAccess limited to authorized users. 001434700 520__ $$aThis 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020. 001434700 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 25, 2021). 001434700 650_0 $$aComputer vision$$vCongresses. 001434700 650_0 $$aPattern recognition systems$$vCongresses. 001434700 650_0 $$aPattern perception$$vCongresses. 001434700 650_0 $$aArtificial intelligence$$vCongresses. 001434700 650_0 $$aOptical data processing. 001434700 650_0 $$aApplication software. 001434700 650_0 $$aMachine learning. 001434700 650_0 $$aEducation$$xData processing. 001434700 650_6 $$aVision par ordinateur$$vCongrès. 001434700 650_6 $$aReconnaissance des formes (Informatique)$$vCongrès. 001434700 650_6 $$aPerception des structures$$vCongrès. 001434700 650_6 $$aIntelligence artificielle$$vCongrès. 001434700 650_6 $$aTraitement optique de l'information. 001434700 650_6 $$aLogiciels d'application. 001434700 650_6 $$aApprentissage automatique. 001434700 650_6 $$aÉducation$$xInformatique. 001434700 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001434700 655_7 $$aConference papers and proceedings.$$2lcgft 001434700 655_7 $$aActes de congrès.$$2rvmgf 001434700 655_0 $$aElectronic books. 001434700 7001_ $$aDel Bimbo, Alberto,$$eeditor. 001434700 7001_ $$aCucchiara, Rita,$$eeditor. 001434700 7001_ $$aSclaroff, Stan,$$eeditor. 001434700 7001_ $$aFarinella, Giovanni Maria,$$eeditor. 001434700 7001_ $$aMei, Tao,$$eeditor. 001434700 7001_ $$aBertini, Marco,$$eeditor. 001434700 7001_ $$aEscalante, Hugo Jair,$$eeditor. 001434700 7001_ $$aVezzani, Roberto,$$eeditor. 001434700 77608 $$iPrint version:$$z9783030687892 001434700 77608 $$iPrint version:$$z9783030687915 001434700 830_0 $$aLecture notes in computer science ;$$v12662.$$x0302-9743 001434700 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics. 001434700 852__ $$bebk 001434700 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-68790-8$$zOnline Access$$91397441.1 001434700 909CO $$ooai:library.usi.edu:1434700$$pGLOBAL_SET 001434700 980__ $$aBIB 001434700 980__ $$aEBOOK 001434700 982__ $$aEbook 001434700 983__ $$aOnline 001434700 994__ $$a92$$bISE