Proceedings of the Satellite Workshops of ICVGIP 2021

Contents
About the Editors
Workshop on Digital Heritage (WDH)
Systematic Approach to Tuning a Deep CNN Classifying Bharatanatyam Mudras
	1 Introduction
	2 Literature Review
	3 Dataset Description
	4 Methodology
		4.1 Convolutional Neural Network
		4.2 Hyperparameter Tuning
	5 Results and Discussion
		5.1 Architecture
		5.2 Batch Sizes
		5.3 Dropout Probability
		5.4 Validation Split Percentage
		5.5 Optimisers and Learning Rate
		5.6 Summary
	6 Conclusion
	References
Comparative Analysis of Neural Architecture Search Methods for Classification of Cultural Heritage Sites
	1 Introduction
	2 Background Study
		2.1 Search Space
		2.2 Search Strategy
		2.3 Evaluation Strategy
	3 Methodology
	4 Results and Discussion
	5 Conclusion
	References
Heritage Representation of Kashi Vishweshwar Temple at Kalabgoor, Telangana with Augmented Reality Application Using Photogrammetry
	1 Introduction
		1.1 Photogrammetry
		1.2 Augmented Reality
		1.3 Historical Background
	2 Methodology
	3 Results and Analysis
	4 Conclusion
	References
Augmented Data as an Auxiliary Plug-In Toward Categorization of Crowdsourced Heritage Data
	1 Introduction
	2 Related Works
	3 Categorization of Crowdsourced Heritage Data
	4 Experiments
		4.1 Dataset
		4.2 Training Setup
		4.3 Evaluation Metrics
	5 Results and Discussions
		5.1 Ablation Study
	6 Conclusions
	References
Evolution of Bagbazar Street Through Visibility Graph Analysis (1746–2020)
	1 Introduction
	2 Space Syntax Method
	3 Kolkata: Bag Bazar Street
	4 Methodology
		4.1 Data and Survey
		4.2 Analysis Method
	5 Result and Discussion
		5.1 General Description
		5.2 Axial Analysis
	6 Conclusion
	References
Mapping Archaeological Remains of 14th Century Fort of Jahanpanah Using Geospatial Analysis
	1 Introduction
	2 Methodology
		2.1 Analyses of Geospatial Data
		2.2 Geospatial Studies of Archaeological Sites
	3 Conclusion
	References
Spatial Analysis and 3d Mapping Historic Landscapes—Implications of Adopting an Integrated Approach in Simulation and Visualization of Landscapes
	1 Introduction
	2 Digitizing Heritage—A Brief Overview
	3 Context
		3.1 Badami and Its Immediate Environs
	4 3D Landscape Model Generation
		4.1 Building Model Generation of Sites 1 and 2
		4.2 Building Model Generation of Site 3:
	5 Concluding Remarks
	References
Medical Image Processing (MedImage)
HSADML: Hyper-Sphere Angular Deep Metric Based Learning for Brain Tumor Classification
	1 Introduction
	2 Methodology
		2.1 SphereFace Loss
		2.2 Backbone Architecture
		2.3 Classification and Testing
		2.4 Implementation and Network Training
	3 Experiments, Results and Discussions.
		3.1 Dataset and Experimental Protocol
		3.2 Performance Metrics
		3.3 Experimental Analysis
	4 Conclusion and Future Aspect
	References
Document Analysis and Recognition (DAR)
Model Compression Based Lightweight Online Signature Verification Framework
	1 Introduction
	2 Literature Survey
	3 Proposed Online Signature Verification Model
		3.1 The Proposed Pruning Technique
	4 Ablation Study of Various Pruned Models
		4.1 Experimentation Setup
		4.2 Ablation Study
	5 Comparative Study
	6 Conclusion and Future Work
	References
End-to-End Transformer-Based Architecture for Text Recognition from Document Images
	1 Introduction
	2 Background
	3 Related Work
	4 Proposed Framework
	5 Methodology
		5.1 Super Resolution and Segmentation
		5.2 Global Attention
		5.3 Normalized Attention
		5.4 Decoder
	6 Experimental Results
		6.1 Dataset
		6.2 Results
	References
A Hybrid Approach for Table Detection in Document Images
	1 Introduction
	2 Proposed Method
		2.1 Dataset
		2.2 Preprocessing and Feature Detection
		2.3 Classification of Words
		2.4 Machine Learning Approach
		2.5 Deep Learning Approach
		2.6 Hybrid Approach
	3 Results and Discussions
	4 Conclusion
	References
Workshop on Computer Vision Applications (WCVA)
The Ikshana Hypothesis of Human Scene Understanding
	1 Introduction
	2 Related Work
	3 Method
		3.1 Ikshana (the Eye) Hypothesis
		3.2 IkshanaNet Architecture
	4 Experiments
		4.1 Experimental Setup
		4.2 Experiments on Cityscapes
		4.3 Experiments on Camvid
	5 Validity Threats
	6 Conclusion
		6.1 Code
	References
Worst-Case Adversarial Perturbation and Effect of Feature Normalization on Max-Margin Multi-label Classifiers
	1 Introduction
	2 Our Approach
		2.1 Generating Adversarial Samples
		2.2 Feature Normalization to Safeguard Against Adversarial Attack
	3 Experiments and Discussion
		3.1 Datasets
		3.2 Evaluation Metrics
		3.3 Benchmark Max-Margin Multi-label Methods
		3.4 Results and Discussion
	4 Summary and Conclusion
	References
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)
	1 Introduction
	2 Related Work
	3 Dataset Details
		3.1 Images
		3.2 Annotations
	4 Adaptation of Existing Models for CGL Detection
		4.1 YOLOv3
		4.2 MobileNetv2
		4.3 HRNetv2
	5 Proposed Method
		5.1 Notations
		5.2 Encoder
		5.3 Depth-Aware Feature Learning Block (DFLB)—Auxiliary Decoder
		5.4 CGL Segmentation Block (CGLSB)
		5.5 Geometric Transformation Equivariance (GTE) Loss
		5.6 Intraclass Variance Reduction (IVR) Loss
		5.7 Testing
	6 Results and Experiments
		6.1 Evaluation Metric
		6.2 Quantitative Results
		6.3 Qualitative Results
	7 Conclusion and Discussion
	References
MATIC: Memory-Guided Adaptive Transformer for Image Captioning
	1 Introduction
	2 Related Work
		2.1 CNN-RNN Based Models
		2.2 Transformer Based Models
	3 Methodology
		3.1 Overview
		3.2 Visual Encoder
		3.3 Linguistic Decoder
		3.4 Training
	4 Experiments and Results
		4.1 Dataset
		4.2 Training Details
		4.3 Quantitative and Qualitative Results
	5 Conclusion
	References
Semantic Map Injected GAN Training for Image-to-Image Translation
	1 Introduction
	2 Proposed Semantic Map Injected GAN Training
	3 Experimental Setup
		3.1 GAN Models Used
		3.2 Datasets Used
		3.3 Metrics Used
	4 Experimental Results and Analysis
	5 Conclusion
	References
TextGen3D: A Real-Time 3D-Mesh Generation with Intersecting Contours for Text
	1 Introduction
	2 Literature Review
	3 Algorithm
		3.1 Contour Generator
		3.2 Contour Processor
		3.3 Mesh Generator
	4 Results
		4.1 Dynamic Sampling
		4.2 Intersection Removal
		4.3 Mesh Quality
	5 Conclusion
	References