TY - CPAPER
KW - Comic recognition
KW - convolutional neural network
KW - Convolutional neural networks
KW - cultural heritage
KW - Cultural heritages
KW - Deep learning
KW - Fast region-based convolutional neural network
KW - Faster R-CNN
KW - Historic preservation
KW - Indigenous intangible heritage
KW - Language processing
KW - Learning systems
KW - NLP
KW - Natural language processing
KW - Natural language processing systems
KW - Natural languages
KW - Region-based
AU - R. Sharma
AU - V. Kukreja
AB - Indigenous intangible heritage is a valuable part of human culture, passed down through generations. This research explores the use of deep learning techniques to preserve and understand this heritage through comics. By detecting and analyzing important elements like speech bubbles and characters, we aim to uncover the cultural significance of these comics in preserving indigenous heritage. Our evaluation of a deep learning pipeline, using Faster Region-based Convolutional Neural Network (R-CNN) and Bidirectional Encoder Representations from Transformers (BERT) models, demonstrates its accuracy and effectiveness in interpreting indigenous intangible heritage through comics. This research sheds light on the potential of deep learning for preserving and promoting indigenous culture, providing valuable insights for researchers and cultural heritage professionals.
DO - 10.1109/ICSH57060.2023.10482818
N2 - Indigenous intangible heritage is a valuable part of human culture, passed down through generations. This research explores the use of deep learning techniques to preserve and understand this heritage through comics. By detecting and analyzing important elements like speech bubbles and characters, we aim to uncover the cultural significance of these comics in preserving indigenous heritage. Our evaluation of a deep learning pipeline, using Faster Region-based Convolutional Neural Network (R-CNN) and Bidirectional Encoder Representations from Transformers (BERT) models, demonstrates its accuracy and effectiveness in interpreting indigenous intangible heritage through comics. This research sheds light on the potential of deep learning for preserving and promoting indigenous culture, providing valuable insights for researchers and cultural heritage professionals.
SP - 136
EP - 140
TI - Deep learning-Based Comic Recognition and Analysis for the Preservation of Indigenous Intangible Heritage
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190548591&doi=10.1109%2fICSH57060.2023.10482818&partnerID=40&md5=8d63b01aa7c90fc15c23505fd998a70d
ER -