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A 487$b36976 L.M.$cF.V. 959 $aBK 969 $aUMA 979 $aSIAV3$b10$c20040426$lUSA01$h1037 996 $aJournal du Siege de Gaete$9945007 997 $aUNISA LEADER 01101nam--2200385---450- 001 990003387790203316 005 20100415132303.0 010 $a0-691-06943-3 010 $a0--691-00088-3 (pbk.) 035 $a000338779 035 $aUSA01000338779 035 $a(ALEPH)000338779USA01 035 $a000338779 100 $a20100415d--------km-y0itay50------ba 101 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $aOff with their heads$efairy tales and the culture of childhood$fMaria Tatar 210 $aPrinceton$cPrinceton University press copyr. 1992 215 $aXXVIII, 295 p.$cill.$d24 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 606 0 $aFavole$xAspetti psicologici 606 $aLetteratura per ragazzi$xAspetti psicologici 676 $a809.89282 700 1$aTATAR,$bMaria$0607391 801 0$aIT$bsalbc$gISBD 912 $a990003387790203316 951 $aII.1.85$b2949 DSLL 959 $aBK 969 $aDSLL 979 $aDSLL$b90$c20100415$lUSA01$h1323 996 $aOff with their heads$91127346 997 $aUNISA LEADER 07436nam 22007695 450 001 9910585781503321 005 20251004101924.0 010 $a3-031-11349-7 024 7 $a10.1007/978-3-031-11349-9 035 $a(MiAaPQ)EBC7049443 035 $a(Au-PeEL)EBL7049443 035 $a(CKB)24281717200041 035 $a(PPN)263898342 035 $a(DE-He213)978-3-031-11349-9 035 $a(OCoLC)1337566411 035 $a(EXLCZ)9924281717200041 100 $a20220723d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision and Image Processing $e6th International Conference, CVIP 2021, Rupnagar, India, December 3?5, 2021, Revised Selected Papers, Part II /$fedited by Balasubramanian Raman, Subrahmanyam Murala, Ananda Chowdhury, Abhinav Dhall, Puneet Goyal 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (598 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1568 311 08$aPrint version: Raman, Balasubramanian Computer Vision and Image Processing Cham : Springer International Publishing AG,c2022 9783031113482 327 $aHandwritten Text Retrieval from Unlabeled Collections -- Detecting Document Forgery Using Hyperspectral Imaging -- An Hour-glass CNN for Language Identification of Indic Texts in Digital Images -- Single Frame-based Video Dehazing with Adversarial Learning -- Spatio-Temporal Event Segmentation for Wildlife Extended Videos -- Comparative analysis of machine learning and deep learning models for ship classication from satellite images -- Channel Dierence based Regeneration Architecture for Fake Colorized Image Detection -- DenseASPP enriched Residual Network towards visual saliency prediction -- Brain MRI and CT Image Fusion Using Generative Adversarial Network -- MFCA-Net: Multiscale Feature Fusion with Channel-wise Attention Network for Automatic Liver Segmentation from CT Images -- Automatic Double Contact Fault Detection in Outdoor Volleyball Videos -- Classroom Slide Narration System -- Humanoid Robot - Spark -- Attention-Based Deep Autoencoder for Hyperspectral Image Denoising -- Feature Modulating Two-stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images -- Retinal Image Quality Assessment using Sharpness and Connected Components -- Multi-frame Motion Saliency Learning for Object Segmentation -- Video Enhancement with Single Frame -- Blind Video Quality Assessment using Fusion of Novel Structural Features and Deep Features -- On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identication -- Post-Harvest Handling of Mangoes: An Integrated Solution Using Machine Learning Approach -- Morphological Gradient Analysis and Contour Feature Learning for Locating Text in Natural Scene Images -- Introspecting Local Binary Feature Vectors for Classification of Radiographic Weld Images -- Performance Evaluation of Deep Learning Models for Ship Detection -- COVID-19 Social Distance Surveillance using Deep Learning -- Towards Semi-supervised Tree Canopy Detection and Extraction from UAV Images -- Pose Guided Controllable Gesture to gesture translation -- EDR: Enriched Deep Residual Framework with Image Reconstruction for Medical Image retrieval -- Depth Estimation Using Sparse Depth And Transformer -- Analysis of Loss Functions for Image Reconstruction using Convolutional Autoencoder -- Fuzzy Entropy k-Plane Clustering Method and its Application to Medical Image Segmentation. -- FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks -- Region Extraction Based Approach For Cigarette Usage Classication Using Deep Learning -- Fire Detection Model using Deep Learning Techniques -- Two Novel Methods for Multiple Kinect v2 Sensor Calibration -- Residual Inception Cycle-Consistent Adversarial Networks -- MAG-Net : A memory augmented generative framework for Video anomaly detection using extrapolation -- Hand Gesture Recognition using CBAM-RetinaNet -- Elderly Patient Fall Detection using Video Surveillance -- OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Articial Neural Networks -- Deep Learning Based DR Medical Image Classication -- Human Action Recognition in Still Images -- Enhancing unsupervised video representation learning by temporal contrastive modelling using 2d CNN -- Deep Two-Stage LiDAR Depth Completion -- 3D Multi-voxel pattern based machine learning for multi-center fMRI data normalization -- EFFICIENT APPROXIMATION OF CURVE-SHAPED OBJECTS IN Z2 BASED ON THE MAXIMUM DIFFERENCE BETWEEN DISCRETE CURVATURE VALUES -- Exploring the role of adversarial attacks in image anti-forensics -- A Novel Articial Intelligence-based Lung Nodule Segmentation and Classication System on CT Scans. 330 $aThis two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1568 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aMachine learning 606 $aSocial sciences$xData processing 606 $aEducation$xData processing 606 $aApplication software 606 $aDatabase management 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputers and Education 606 $aComputer and Information Systems Applications 606 $aDatabase Management 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aSocial sciences$xData processing. 615 0$aEducation$xData processing. 615 0$aApplication software. 615 0$aDatabase management. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputers and Education. 615 24$aComputer and Information Systems Applications. 615 24$aDatabase Management. 676 $a006.37 676 $a006.37 702 $aRaman$b Balasubramanian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910585781503321 996 $aComputer vision and image processing$91901686 997 $aUNINA