LEADER 00961nam0-2200313---450- 001 990009577310403321 005 20120522100606.0 035 $a000957731 035 $aFED01000957731 035 $a(Aleph)000957731FED01 035 $a000957731 100 $a20120522d1971----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $a--------001yy 200 1 $aCRC handbook of chemistry and physics$ea ready-reference book of chemical and physical data$feditor Robert C. Weast 205 $a52. ed 210 $aCleveland$cThe Chemical Rubber Co.$dc1971 215 $a1 v. (paginazione varia)$d27 cm 225 1 $aCRC handbook series 300 $aedizione relativa al 1971-1972 702 1$aWeast,$bRobert Calvin 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009577310403321 952 $a80 X 48 CFT (12)$bCFT 5693$fFFABC 959 $aFFABC 996 $aCRC handbook of chemistry and physics$975767 997 $aUNINA LEADER 01514nam--2200481---450- 001 990002875100203316 005 20070305100614.0 010 $a88-15-10512-3 035 $a000287510 035 $aUSA01000287510 035 $a(ALEPH)000287510USA01 035 $a000287510 100 $a20070305d2005----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aProspettive antropologiche$el'uomo alla scoperta di sé$fArnold Gehlen 205 $aNuova ed. aggiornata$fa cura di Vallori Rasini 210 $aBologna$cIl Mulino$d2005 215 $a207 p.$d21 cm. 225 2 $aUniversale paperbacks Il mulino$v493 300 $aTrad. di Sergio Cremaschi 410 0$12001$aUniversale paperbacks Il mulino$v348 454 1$12001$aAnthropologische Forschung$914392 461 1$1001-------$12001 606 0 $aUomo 676 $a128 700 1$aGEHLEN,$bArnold$0128021 702 1$aRASINI,$bVallori 702 1$aCREMASCHI,$bSergio 801 0$aIT$bsalbc$gISBD 912 $a990002875100203316 951 $aIII.2. 1234$b190974 L.M.$cIII.2.$d00121105 959 $aBK 969 $aUMA 979 $aRIVELLI$b90$c20070305$lUSA01$h1003 979 $aRIVELLI$b90$c20070305$lUSA01$h1006 979 $aFIORELLA$b90$c20081203$lUSA01$h1156 979 $aCHIARA$b90$c20100917$lUSA01$h1359 979 $aCHIARA$b90$c20100917$lUSA01$h1401 979 $aCHIARA$b90$c20100917$lUSA01$h1408 996 $aAnthropologische Forschung$914392 997 $aUNISA LEADER 07499nam 22006375 450 001 9910720081303321 005 20250610120021.0 010 $a9783031314070$b(electronic bk.) 010 $z9783031314063 024 7 $a10.1007/978-3-031-31407-0 035 $a(MiAaPQ)EBC7246263 035 $a(Au-PeEL)EBL7246263 035 $a(DE-He213)978-3-031-31407-0 035 $a(OCoLC)1378750345 035 $a(PPN)270613714 035 $a(CKB)26592160900041 035 $a(EXLCZ)9926592160900041 100 $a20230506d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision and Image Processing $e7th International Conference, CVIP 2022, Nagpur, India, November 4?6, 2022, Revised Selected Papers, Part I /$fedited by Deep Gupta, Kishor Bhurchandi, Subrahmanyam Murala, Balasubramanian Raman, Sanjeev Kumar 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (765 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1776 311 08$aPrint version: Gupta, Deep Computer Vision and Image Processing Cham : Springer,c2023 9783031314063 327 $aAnomaly Detection in ATM Vestibules using Three-stream Deep Learning Approach -- MIS-Net: A deep residual network based on memorised pooling indices for medical image segmentation -- HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks -- Share-GAN: A Novel Shared Task Training in Generative Adversarial Networks for Data Hiding -- Hiding Video in Images: Harnessing Adversarial Learning on Deep 3D-Spatio-Temporal Convolutional Neural Networks -- An Explainable Transfer Learning based approach for Detecting Face Mask -- Left Ventricle Segmentation of 2D Echocardiography Using Deep Learning -- Multi Modal 2-D Canvas based Gallery Content Retrieval -- A Segmentation Based Robust Fractional Variational Model for Motion Estimation -- FlashGAN: Generating Ambient Images from Flash Photographs -- CT Image Synthesis from MR Image using Edge-aware Generative Adversarial Network -- Modified Scaled-YOLOv4: Soccer Player and Ball Detection for Real Time Implementation -- CandidNet: A Novel Framework for Candid Moments Detection -- Cost Efficient Defect Detection in Bangle Industry Using Transfer Learning -- SINGLE IMAGE DEHAZING USING MULTI PATH NETWORKS BASED ON CHAIN OF U-NETS -- Leveraging Tri-Planar Views and Weighted Average Fusion Technique to Classify Lung Nodule Malignancy -- A Bayesian Approach to Gaussian-Impulse Noise Removal using Hessian Norm Regularization -- DeepTemplates: Object Segmentation Using Shape Templates -- Data-Centric Approach to SAR-Optical Image Translation -- Linear and Non-Linear Filter-based Counter-Forensics Against Image Splicing Detection -- Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions -- Multi-Generator MD-GAN with Reset Discriminator : A Framework to handle Non-IID Data -- Video Colorization using Modified Autoencoder Generative Adversarial Networks -- Real-time ViolenceDetection using Deep Neural Networks and DTW -- Skin Disease Detection using Saliency Maps and Segmentation Techniques -- An alternate approach for single image haze removal using path prediction -- Detecting Tropical Cyclones in INSAT-3D Satellite Images using CNN-based model -- Two Stream RGB-LBP based Transfer Learning Model for Face Anti Spoofing -- Logarithmic Progressive-SMOTE: Oversampling Minorities in Retinal Fundus Multi-Disease Image Dataset -- Sequence Recognition in Bharatnatyam Dance -- Multi-modality fusion for Siamese Network based RGB-T Tracking (mfSiamTrack) -- Automated detection of changes in built-up areas for map updating: a case study in Northern Italy -- Adaptive Learning for Leather Image Pre-processing using GAN -- Automated Sulcus Depth Measurement on Axial Knee MR Images -- LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks -- Plant Disease Classification Using Hybrid Features -- Analyzing Hydro-Estimator INSAT-3D Time Series with Outlier Detection -- Scalable Architecture for Mining Big Earth Observation Data: SAMBEO -- An Efficient Deep Transfer Learning Approach for Classification of Skin Cancer Images -- Computer Vision based Mechanism for detecting Fire and its Classes -- A Random Forest-based No-Reference Quality Metric for UGC Videos -- Endmember Extraction with Unknown Number of Sources for Hyperspectral Unmixing -- Advancement in Spectrum Sensing Algorithms in Cognitive Radio Architecture -- Fast detection and rule based classification of Bharatanatyam hasta mudra -- MFNet: A Facial Recognition Pipeline for Masked Faces Using FaceNet -- Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis -- Attending Local and Global Features for Image Caption Generation -- A Study on an Ensemble Model for Automatic Classification of Melanoma from Dermoscopy Images -- Challenges in DataExtraction From Graphical Labels in the Commercial Products -- A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images -- A Compact-Structured Convolutional Neural Network for Single Image Denoising and Super-Resolution -- A case study of rice paddy field detection using Sentinel-1 time series in northern Italy -- The UNICT-TEAM vision modules for the Mohamed Bin Zayed International Robotics Challenge 2020 -- ResUNet: An Automated Deep Learning Model for Image Splicing Localization. 330 $aThis two volume set (CCIS 1776-1777) constitutes the refereed proceedings of the 7th International Conference on Computer Vision and Image Processing, CVIP 2022, held in Nagpur, India, November 4?6, 2022. The 110 full papers and 11 short papers were carefully reviewed and selected from 307 submissions. Out of 121 papers, 109 papers are included in this book. The topical scope of the two-volume set focuses on Medical Image Analysis, Image/ Video Processing for Autonomous Vehicles, Activity Detection/ Recognition, Human Computer Interaction, Segmentation and Shape Representation, Motion and Tracking, Image/ Video Scene Understanding, Image/Video Retrieval, Remote Sensing, Hyperspectral Image Processing, Face, Iris, Emotion, Sign Language and Gesture Recognition, etc. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1776 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aVisió per ordinador$2thub 606 $aProcessament digital d'imatges$2thub 608 $aCongressos$2thub 608 $aLlibres electrònics$2thub 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 7$aVisió per ordinador 615 7$aProcessament digital d'imatges 676 $a006 700 $aGupta$b Deep$01355712 701 $aBhurchandi$b Kishor$01355713 701 $aMurala$b Subrahmanyam$01355714 701 o$aRaman$b Balasubramanian$01355715 701 $aSanjeev Kumar$01863443 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910720081303321 996 $aComputer Vision and Image Processing$94470084 997 $aUNINA