Computer Vision and Image Processing 7th International Conference, CVIP 2022, Nagpur, India, November 4–6, 2022, Revised Selected Papers, Part I /

This 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 submissio...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
מחבר תאגידי: SpringerLink (Online service)
מחברים אחרים: Gupta, Deep (Editor), Bhurchandi, Kishor (Editor), Murala, Subrahmanyam (Editor), Raman, Balasubramanian (Editor), Kumar, Sanjeev (Editor)
פורמט: אלקטרוני ספר אלקטרוני
שפה:אנגלית
יצא לאור: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
מהדורה:1st ed. 2023.
סדרה:Communications in Computer and Information Science, 1776
נושאים:
גישה מקוונת:https://doi.org/10.1007/978-3-031-31407-0
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-31407-0
003 DE-He213
005 20260810161137.0
007 cr nn 008mamaa
008 230506s2023 sz | o |||| 0|eng d
020 |a 9783031314070  |9 978-3-031-31407-0 
024 7 |a 10.1007/978-3-031-31407-0  |2 doi 
050 4 |a TA1501-1820 
050 4 |a TA1634 
072 7 |a UYT  |2 bicssc 
072 7 |a COM016000  |2 bisacsh 
072 7 |a UYT  |2 thema 
082 0 4 |a 006  |2 23 
245 1 0 |a Computer Vision and Image Processing  |h [electronic resource] :  |b 7th International Conference, CVIP 2022, Nagpur, India, November 4–6, 2022, Revised Selected Papers, Part I /  |c edited by Deep Gupta, Kishor Bhurchandi, Subrahmanyam Murala, Balasubramanian Raman, Sanjeev Kumar. 
250 |a 1st ed. 2023. 
264 1 |a Cham :  |b Springer Nature Switzerland :  |b Imprint: Springer,  |c 2023. 
300 |a 1 online resource (XXVIII, 738 p. 329 illus.).  |b 278 illus. in color. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Communications in Computer and Information Science,  |x 1865-0937 ;  |v 1776 
505 0 |a Anomaly 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. 
520 |a This 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. 
588 |a Print version record. 
650 0 |a Image processing  |x Digital techniques. 
650 0 |a Computer vision. 
650 1 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
700 1 |a Gupta, Deep.  |e editor.  |0 (orcid)0000-0002-7408-656X  |1 https://orcid.org/0000-0002-7408-656X  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Bhurchandi, Kishor.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Murala, Subrahmanyam.  |e editor.  |0 (orcid)0000-0003-3384-4368  |1 https://orcid.org/0000-0003-3384-4368  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Raman, Balasubramanian.  |e editor.  |0 (orcid)0000-0001-6277-6267  |1 https://orcid.org/0000-0001-6277-6267  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Kumar, Sanjeev.  |e editor.  |0 (orcid)0000-0001-7728-3668  |1 https://orcid.org/0000-0001-7728-3668  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031314063 
776 0 8 |i Printed edition:  |z 9783031314087 
830 0 |a Communications in Computer and Information Science,  |x 1865-0937 ;  |v 1776 
856 4 0 |u https://doi.org/10.1007/978-3-031-31407-0 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-SXPS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 
950 |a Springer Nature Proceedings Computer Science (SpringerNature-85344)