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 |
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| Jazyk: | angličtina |
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08.12.2024
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| ISSN: | 2642-9357 |
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Angeliki surname: Katsenou fullname: Katsenou, Angeliki organization: University of Bristol,Bristol Digital Futures Institute,UK – sequence: 2 givenname: Vignesh V surname: Menon fullname: Menon, Vignesh V organization: Fraunhofer HHI,Video Communication and Applications Department,Berlin,Germany – sequence: 3 givenname: Adam surname: Wieckowski fullname: Wieckowski, Adam organization: Fraunhofer HHI,Video Communication and Applications Department,Berlin,Germany – sequence: 4 givenname: Benjamin surname: Bross fullname: Bross, Benjamin organization: Fraunhofer HHI,Video Communication and Applications Department,Berlin,Germany – sequence: 5 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 |
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