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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 4 | Month- April 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

  Authors

  Mohammed Farhan M R,  Jayanth B S,  Kiran Kumara D G,  Faseeh Akbar,  Shilpa N Borkar

  Keywords

Rotoscoping, Video Segmentation, Manifold Models, Shape Models

  Abstract


AI Rotoscoping is a transformative project that introduces cutting-edge artificial intelligence (AI) technologies to revolutionize the traditional rotoscoping process in video animation. Rotoscoping, a fundamental aspect of animation and visual effects, involves meticulously tracing objects frame by frame in live-action footage to create compelling animations. However, this process is notorious for its time-consuming and labor-intensive nature, often impeding the efficiency and creativity of animators. Our project addresses these challenges by integrating advanced AI algorithms to automate and enhance the rotoscoping workflow. The AI Rotoscoping system employs deep learning models to intelligently track and separate objects from the background in video frames, significantly reducing the manual effort required in the traditional rotoscoping process. This innovative approach empowers animators and visual effects artists to allocate more time and energy to creative aspects rather than getting bogged down in meticulous frame-by-frame detailing. Key features of the AI Rotoscoping project include precise object segmentation, leveraging state-of-the-art computer vision techniques. The system employs advanced motion tracking algorithms to ensure accurate object movement across frames, maintaining consistency and improving overall workflow efficiency. Semantic understanding is incorporated into the AI model to distinguish between various elements in the scene, reducing errors and enhancing the accuracy of the rotoscoping process.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2404957

  Paper ID - 256588

  Page Number(s) - i353-i365

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mohammed Farhan M R,  Jayanth B S,  Kiran Kumara D G,  Faseeh Akbar,  Shilpa N Borkar,   "AI Rotoscoping", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.i353-i365, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404957.pdf

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Call For Paper April 2026
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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