Paper Title
Video Colorization using Generative Adversarial Networks
Article Identifiers
Authors
Kshitij Verma , Ankur Singh , Abhijit Pattanaik , Maaz Karim
Keywords
Abstract
Video colorization plays a crucial role in reviving historical footage and enhancing the visual experience of multimedia content. In this research paper, we propose a novel approach for video colorization by leveraging the power of Generative Adversarial Networks (GANs). Building upon the foundations established in image colorization, we extend the methodology to handle video sequences, enabling the automatic and realistic colorization of grayscale videos. Our approach addresses the limitations of traditional video colorization methods by leveraging deep learning techniques and adversarial training. We present promising results demonstrating the effectiveness of our model in colorizing videos, thereby opening up new possibilities for preserving and enhancing visual content.
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"Video Colorization using Generative Adversarial Networks", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.a880-a888, May-2024, Available :https://ijnrd.org/papers/IJNRD2405093.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : a880-a888
Other Publication Details
Paper Reg. ID: IJNRD_220409
Published Paper Id: IJNRD2405093
Downloads: 000121117
Research Area: Engineering
Country: Bengaluru, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405093.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405093
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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