Research work on Comics Analytics

This project is about developing an end-to-end software framework to create augmented reality based content from scanned or camera captured images.

Design and Development of A Software Platform to Create Immersive Content from Digitized and Born Digital Documents

Funding Agency: iHub Drishti, IIT Jodhpur, DST
Duration: 3 years (2024-2027)

As part of this project, we have published a labelled datasets for this purpose.

IMCDB (Indian Mythological Comic Database)

Description: A dataset of digitized comic storybooks in the English language with ground truth annotations for each panel in pages and ground truth text files for each narration box and speech balloon within a panel. Additionally, ground truth binary masks of speech balloons and narration box for each page.

Link to the Repository

Gupta, V., Detani, V., Khokar, V., Chattopadhyay, C. (2021). C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis. In: Lladós, J., Lopresti, D., Uchida, S. (eds) Document Analysis and Recognition – ICDAR 2021. ICDAR 2021. Lecture Notes in Computer Science(), vol 12822. Springer, Cham. https://doi.org/10.1007/978-3-030-86331-9_11
Mayurakshi Chaudhuri and Chiranjoy Chattopadhyay, "Images, Intersectionality, and Their Immersive Experiences: Comics As Socio-Cultural Artifacts in Digital Spaces", ISA World Congress of Sociology, Melbourne, Australia June, 2023