Cumulative Quality Modeling for HTTP Adaptive Streaming
| العنوان: | Cumulative Quality Modeling for HTTP Adaptive Streaming |
|---|---|
| المؤلفون: | Tobias Hoßfeld, Michael Seufert, Huyen T. T. Tran, Truong Cong Thang, Nam Pham Ngoc |
| المصدر: | ACM Transactions on Multimedia Computing, Communications, and Applications. 17:1-24 |
| بيانات النشر: | Association for Computing Machinery (ACM), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 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) |
| الوصف: | 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 . |
| تدمد: | 1551-6865 1551-6857 |
| DOI: | 10.1145/3423421 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da78a1164409f1a09a6221a5257e4a9f https://doi.org/10.1145/3423421 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....da78a1164409f1a09a6221a5257e4a9f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15516865 15516857 |
|---|---|
| DOI: | 10.1145/3423421 |