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Mr. Vibhoothi Vibhoothi

Research Assistant (ADAPT)
Research Assistant (Electronic & Elect. Engineering)
      
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Mr. Vibhoothi Vibhoothi

Research Assistant (ADAPT)

 VIBHOOTHI@tcd.ie

 

Research Assistant (Electronic & Elect. Engineering)


Vibhoothi is a Researcher in the Department of Electronic and Electrical Engineering at Trinity College Dublin and a member of the sigmedia.tv research group. He sits on the Board of VideoLAN (Vice-President) Non-profit organisation, and is an active contributor to open-source initiatives, including the Alliance for Open Media (AOM) and Xiph.Org. Within AOMedia, he co-chairs the Extended Chroma Format (ECF) and the 12-bit support for AV2 focus groups. He is also part of the Review committee of IEEE conferences (ICME, QOMEX, ICASSP, ICIP, PCS) and the IEEE Transactions on Image Processing Journal. He is also part of the Technical Committee of Multimedia Signal Processing (MMSP) of IEEE Signal Processing Society (SPS) as a Reviewer. He founded the IEEE Student Branch of Trinity College Dublin and was chair from 2022 to 2025. In 2025, he received his PhD from Trinity College Dublin (Ireland) under the supervision of Anil Kokaram. His thesis was titled "Automated Video Encoder Parameterisation from Streaming to Cinema". He previously earned his Bachelor"s degree in Computer Science and Engineering from Amrita University, India, in 2016. His research focuses on video streaming technologies, with a particular emphasis on optimised transcoding, energy-efficient streaming, Rate-Distortion Optimisation (RDO), High Dynamic Range (HDR), and next-generation open codecs (AV1/AV2).
Details Date
Chair of Trinity College Dublin IEEE Student Branch (2023-2025)
Details Date From Date To
Board Member (Vice-President) of VideoLAN Non-Profit Organisation 2025 Now
Vibhoothi, Vibhoothi and Zouein, Julien and Shreejith, Shanker and Kempf, Jean-Baptiste and Kokaram, Anil, An Empirical Study of Reducing AV1 Decoder Complexity and Energy Consumption via Encoder Parameter Tuning, Picture Coding Symposium, Aachen, 2025, Conference Paper, PUBLISHED
Zouein, Julien and Vibhoothi, Vibhoothi and Kokaram, Anil, AV1 Motion Vector Fidelity and Application for Efficient Optical Flow, 2025 IEEE Picture Coding Symposium (PCS), 2025, Conference Paper, PUBLISHED
Vibhoothi, Vibhoothi and Pitie, Francois and Kokaram, Anil, LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications, 2025 IEEE Picture Coding Symposium (PCS), 2025, Conference Paper, PUBLISHED
Vibhoothi, Vibhoothi and Pitie, Francois and Kokaram, Anil, LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications, 2025 IEEE Picture Coding Symposium (PCS), 2025, Conference Paper, PUBLISHED
Vibhoothi, Vibhoothi and Pitie, Francois and Kokaram, Anil, LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications, 2025 IEEE Picture Coding Symposium (PCS), 2025, Conference Paper, PUBLISHED
Vibhoothi, Vibhoothi and Kokaram, Anil and Zouein, Julien and Pitie, Francois and Nash, Christopher and Bentley, James and Coulam-Jones, Philip, Demystifying the use of Compression in Virtual Production, Motion Imaging Journal, 134, 2025, pp40-49 , Conference Paper, PUBLISHED  DOI
Ramsook, Darren and Vibhoothi and Kokaram, Anil and Katsenou, Angeliki and Bull, David, Comparative Analysis of Subjective Evaluations for Traditional and Neural-Based Video Enhancement Techniques, 2024, pp242 â€" 245 , Notes: [Cited by: 0], Conference Paper, PUBLISHED  DOI
Shu, Xin and Vibhoothi, Vibhoothi and Kokaram, Anil, Predicting total time to compress a video corpus using online inference systems, 2024, Notes: [Cited by: 0; All Open Access, Green Open Access], Conference Paper, PUBLISHED  DOI
Vibhoothi, Vibhoothi and Zouein, Julien and Pitie, Francois and Kokaram, Anil, Unravelling the Power of Single-Pass Look-Ahead in Modern Codecs for Optimized Transcoding Deployment, 2024 NAB BEIT Conference, 2024, Conference Paper, PUBLISHED
Vibhoothi, Vibhoothi and Zouein, Julien and Pitie, Francois and Kokaram, Anil, Using Single-Pass Look-Ahead in Modern Codecs for Optimized Transcoding Deployment, Motion Imaging Journal, 133, 2024, pp40-49 , Conference Paper, PUBLISHED  DOI
  

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