Decoding Complexity-Rate-Quality Pareto-Front for Adaptive VVC Streaming

Pareto-front optimization is crucial for addressing the multi-objective challenges in video streaming, enabling the identification of optimal trade-offs between conflicting goals such as bitrate, video quality, and decoding complexity. This paper explores the construction of efficient bitrate ladder...

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Published in:Visual communications and image processing (Online) pp. 1 - 5
Main Authors: Katsenou, Angeliki, Menon, Vignesh V, Wieckowski, Adam, Bross, Benjamin, Marpe, Detlev
Format: Conference Proceeding
Language:English
Published: IEEE 08.12.2024
Subjects:
Adaptive streaming
Bit rate
Bitrate ladder
Complexity theory
Decoding
Optimization
Pareto-front optimization
Quality assessment
Runtime
Streaming media
Versatile Video Coding (VVC)
Video coding
Visual communication
XPSNR
ISSN:2642-9357
Online Access:Get full text
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Abstract Pareto-front optimization is crucial for addressing the multi-objective challenges in video streaming, enabling the identification of optimal trade-offs between conflicting goals such as bitrate, video quality, and decoding complexity. This paper explores the construction of efficient bitrate ladders for adaptive Versatile Video Coding (VVC) streaming, focusing on optimizing these trade-offs. We investigate various ladder construction methods based on Pareto-front optimization, including exhaustive Rate-Quality and fixed ladder approaches. We propose a joint decoding time-rate-quality Pareto-front, providing a comprehensive framework to balance bitrate, decoding time, and video quality in video streaming. This allows streaming services to tailor their encoding strategies to meet specific requirements, prioritizing low decoding latency, bandwidth efficiency, or a balanced approach, thus enhancing the overall user experience. The experimental results confirm and demonstrate these opportunities for navigating the decoding time-rate-quality space to support various use cases. For example, when prioritizing low decoding latency, the proposed method achieves a decoding time reduction of 14.86 % while providing Bjøntegaard delta rate savings of 4.65 % and 0.32 dB improvement in the eXtended Peak Signal-to-Noise Ratio (XPSNR)-Rate domain over the traditional fixed ladder solution.
AbstractList Pareto-front optimization is crucial for addressing the multi-objective challenges in video streaming, enabling the identification of optimal trade-offs between conflicting goals such as bitrate, video quality, and decoding complexity. This paper explores the construction of efficient bitrate ladders for adaptive Versatile Video Coding (VVC) streaming, focusing on optimizing these trade-offs. We investigate various ladder construction methods based on Pareto-front optimization, including exhaustive Rate-Quality and fixed ladder approaches. We propose a joint decoding time-rate-quality Pareto-front, providing a comprehensive framework to balance bitrate, decoding time, and video quality in video streaming. This allows streaming services to tailor their encoding strategies to meet specific requirements, prioritizing low decoding latency, bandwidth efficiency, or a balanced approach, thus enhancing the overall user experience. The experimental results confirm and demonstrate these opportunities for navigating the decoding time-rate-quality space to support various use cases. For example, when prioritizing low decoding latency, the proposed method achieves a decoding time reduction of 14.86 % while providing Bjøntegaard delta rate savings of 4.65 % and 0.32 dB improvement in the eXtended Peak Signal-to-Noise Ratio (XPSNR)-Rate domain over the traditional fixed ladder solution.
Author Wieckowski, Adam
Marpe, Detlev
Bross, Benjamin
Menon, Vignesh V
Katsenou, Angeliki
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  givenname: Angeliki
  surname: Katsenou
  fullname: Katsenou, Angeliki
  organization: University of Bristol,Bristol Digital Futures Institute,UK
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  givenname: Vignesh V
  surname: Menon
  fullname: Menon, Vignesh V
  organization: Fraunhofer HHI,Video Communication and Applications Department,Berlin,Germany
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  givenname: Adam
  surname: Wieckowski
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  organization: Fraunhofer HHI,Video Communication and Applications Department,Berlin,Germany
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  givenname: Benjamin
  surname: Bross
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  organization: Fraunhofer HHI,Video Communication and Applications Department,Berlin,Germany
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  givenname: Detlev
  surname: Marpe
  fullname: Marpe, Detlev
  organization: Fraunhofer HHI,Video Communication and Applications Department,Berlin,Germany
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Snippet Pareto-front optimization is crucial for addressing the multi-objective challenges in video streaming, enabling the identification of optimal trade-offs...
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SubjectTerms Adaptive streaming
Bit rate
Bitrate ladder
Complexity theory
Decoding
Optimization
Pareto-front optimization
Quality assessment
Runtime
Streaming media
Versatile Video Coding (VVC)
Video coding
Visual communication
XPSNR
Title Decoding Complexity-Rate-Quality Pareto-Front for Adaptive VVC Streaming
URI https://ieeexplore.ieee.org/document/10849881
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