Cumulative Quality Modeling for HTTP Adaptive Streaming
Autor: | Tobias Hoßfeld, Michael Seufert, Huyen T. T. Tran, Truong Cong Thang, Nam Pham Ngoc |
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Rok vydání: | 2021 |
Předmět: |
FOS: Computer and information sciences
Source code Computer Networks and Communications Computer science media_common.quotation_subject Window (computing) 020206 networking & telecommunications 02 engineering and technology computer.software_genre Multimedia (cs.MM) Hardware and Architecture Sliding window protocol 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Quality of experience Data mining Session (computer science) Throughput (business) computer Computer Science - Multimedia media_common Block (data storage) |
Zdroj: | ACM Transactions on Multimedia Computing, Communications, and Applications. 17:1-24 |
ISSN: | 1551-6865 1551-6857 |
Popis: | HTTP Adaptive Streaming has become the de facto choice for multimedia delivery. However, the quality of adaptive video streaming may fluctuate strongly during a session due to throughput fluctuations. So, it is important to evaluate the quality of a streaming session over time. In this article, we propose a model to estimate the cumulative quality for HTTP Adaptive Streaming. In the model, a sliding window of video segments is employed as the basic building block. Through statistical analysis using a subjective dataset, we identify four important components of the cumulative quality model, namely the minimum window quality, the last window quality, the maximum window quality, and the average window quality. Experiment results show that the proposed model achieves high prediction performance and outperforms related quality models. In addition, another advantage of the proposed model is its simplicity and effectiveness for deployment in real-time estimation. Our subjective dataset as well as the source code of the proposed model have been made publicly available at https://sites.google.com/site/huyenthithanhtran1191/cqmdatabase . |
Databáze: | OpenAIRE |
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