This 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.
Handwritten 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.
