Bidirectional LSTM for continuously predicting QoE in HTTP adaptive streaming

Tho Nguyen Duc, Chanh Minh Tran, Tan Phan Xuan, Eiji Kamioka

研究成果: Conference contribution

1 引用 (Scopus)

抄録

Continuous monitoring of quality of experience (QoE) has increasingly become an important mechanism in quantifying the user's satisfaction over video streaming services. Such mechanism requires approaches with the ability to model the complex temporal dependencies and time-varying characteristics of the QoE. Long-Short Term Memory (LSTM) related approaches carried out by recent research efforts have shown highly potential results since they can leverage past events occurring during a streaming session. However, the unidirectional LSTM structure only consider forward dependencies, leading to high possibility of missing out useful information. In this paper, a novel model for continuous QoE prediction is proposed to consider not only forward dependencies but also backward dependencies. The proposal utilizes a Bidirectional Long Short Term-Memory (BLSTM) model to process inputs obtained from perceptual video quality algorithms, rebuffering, and memory-related temporal data. Comparisons with other state-of-the-art models indicate that the proposed model achieves very promising performance in terms of accuracy.

元の言語English
ホスト出版物のタイトルACM International Conference Proceeding Series
出版者Association for Computing Machinery
ページ156-160
ページ数5
ISBN(印刷物)9781450361033
DOI
出版物ステータスPublished - 2019 1 1
イベント2nd International Conference on Information Science and System, ICISS 2019 - Tokyo, Japan
継続期間: 2019 3 162019 3 19

出版物シリーズ

名前ACM International Conference Proceeding Series
Part F148384

Conference

Conference2nd International Conference on Information Science and System, ICISS 2019
Japan
Tokyo
期間19/3/1619/3/19

Fingerprint

HTTP
Video streaming
Long short-term memory
Data storage equipment
Monitoring

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

これを引用

Duc, T. N., Tran, C. M., Phan Xuan, T., & Kamioka, E. (2019). Bidirectional LSTM for continuously predicting QoE in HTTP adaptive streaming. : ACM International Conference Proceeding Series (pp. 156-160). (ACM International Conference Proceeding Series; 巻数 Part F148384). Association for Computing Machinery. https://doi.org/10.1145/3322645.3322687

Bidirectional LSTM for continuously predicting QoE in HTTP adaptive streaming. / Duc, Tho Nguyen; Tran, Chanh Minh; Phan Xuan, Tan; Kamioka, Eiji.

ACM International Conference Proceeding Series. Association for Computing Machinery, 2019. p. 156-160 (ACM International Conference Proceeding Series; 巻 Part F148384).

研究成果: Conference contribution

Duc, TN, Tran, CM, Phan Xuan, T & Kamioka, E 2019, Bidirectional LSTM for continuously predicting QoE in HTTP adaptive streaming. : ACM International Conference Proceeding Series. ACM International Conference Proceeding Series, 巻. Part F148384, Association for Computing Machinery, pp. 156-160, 2nd International Conference on Information Science and System, ICISS 2019, Tokyo, Japan, 19/3/16. https://doi.org/10.1145/3322645.3322687
Duc TN, Tran CM, Phan Xuan T, Kamioka E. Bidirectional LSTM for continuously predicting QoE in HTTP adaptive streaming. : ACM International Conference Proceeding Series. Association for Computing Machinery. 2019. p. 156-160. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3322645.3322687
Duc, Tho Nguyen ; Tran, Chanh Minh ; Phan Xuan, Tan ; Kamioka, Eiji. / Bidirectional LSTM for continuously predicting QoE in HTTP adaptive streaming. ACM International Conference Proceeding Series. Association for Computing Machinery, 2019. pp. 156-160 (ACM International Conference Proceeding Series).
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