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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Vydáno v:Visual communications and image processing (Online) s. 1 - 5
Hlavní autoři: Katsenou, Angeliki, Menon, Vignesh V, Wieckowski, Adam, Bross, Benjamin, Marpe, Detlev
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 08.12.2024
Témata:
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
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Shrnutí: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.
ISSN:2642-9357
DOI:10.1109/VCIP63160.2024.10849881