A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder

Kadagathur Lakshmana Reddy DR, Herglotz C, Kaup A (2025)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Conference Proceedings Title: 2025 Picture Coding Symposium (PCS), Aachen, Germany

Open Access Link: https://arxiv.org/abs/2510.12754

Authors with CRIS profile

Diwakara Reddy Kadagathur Lakshmana Reddy Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

Involved external institutions

Brandenburgische Technische Universität Cottbus-Senftenberg (BTU) DE Germany (DE)

How to cite

APA:

Kadagathur Lakshmana Reddy, D.R., Herglotz, C., & Kaup, A. (2025). A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder. In 2025 Picture Coding Symposium (PCS), Aachen, Germany.

MLA:

Kadagathur Lakshmana Reddy, Diwakara Reddy, Christian Herglotz, and André Kaup. "A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder." Proceedings of the 2025 Picture Coding Symposium (PCS), Aachen, Germany 2025.

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