Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload

C. Lee; G. Seo; H. Choi; S. Youn; K. Lee

doi:10.1109/IISA50023.2020.9284348

Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload

C. Lee, G. Seo, H. Choi, S. Youn, K. Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a hybrid no-reference video quality measurement method for H.264. Although there is a strong need from the industry for no-reference models that don't require reference signals, developing reliable no-reference models for perceptual video quality assessment has been a challenging goal. On the other hand, in most digital video transmission, encoded video signals are transmitted in video packets, which can provide valuable information about coding parameters and transmission errors. The proposed hybrid noreference models uses both the information available from video packets and decoded signals to estimate coding artefacts and impairments caused by transmission errors. Sometime, the payloads of video packets may be encrypted to protect contents. In such case, the available information is rather limited. The proposed method was independently tested against large databases and shows good performance.

Original language	English
Title of host publication	11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665422284
DOIs	https://doi.org/10.1109/IISA50023.2020.9284348
Publication status	Published - 2020 Jul 15
Event	11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020 - Piraeus, Greece Duration: 2020 Jul 15 → 2020 Jul 17

Publication series

Name	11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020

Conference

Conference	11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020
Country/Territory	Greece
City	Piraeus
Period	20/7/15 → 20/7/17

Bibliographical note

Funding Information:
This work was supported by the Technology Innovation Program, 10035389, funded by the Ministry of Knowledge Economy (MKE, Korea).

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Information Systems and Management
Control and Optimization

Access to Document

10.1109/IISA50023.2020.9284348

Cite this

Lee, C., Seo, G., Choi, H., Youn, S., & Lee, K. (2020). Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload. In 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020 [9284348] (11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISA50023.2020.9284348

Lee, C. ; Seo, G. ; Choi, H. et al. / Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload. 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020).

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abstract = "In this paper, we propose a hybrid no-reference video quality measurement method for H.264. Although there is a strong need from the industry for no-reference models that don't require reference signals, developing reliable no-reference models for perceptual video quality assessment has been a challenging goal. On the other hand, in most digital video transmission, encoded video signals are transmitted in video packets, which can provide valuable information about coding parameters and transmission errors. The proposed hybrid noreference models uses both the information available from video packets and decoded signals to estimate coding artefacts and impairments caused by transmission errors. Sometime, the payloads of video packets may be encrypted to protect contents. In such case, the available information is rather limited. The proposed method was independently tested against large databases and shows good performance.",

author = "C. Lee and G. Seo and H. Choi and S. Youn and K. Lee",

note = "Funding Information: This work was supported by the Technology Innovation Program, 10035389, funded by the Ministry of Knowledge Economy (MKE, Korea). Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020 ; Conference date: 15-07-2020 Through 17-07-2020",

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Lee, C, Seo, G, Choi, H, Youn, S & Lee, K 2020, Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload. in 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020., 9284348, 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020, Institute of Electrical and Electronics Engineers Inc., 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020, Piraeus, Greece, 20/7/15. https://doi.org/10.1109/IISA50023.2020.9284348

Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload. / Lee, C.; Seo, G.; Choi, H. et al.

11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9284348 (11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Lee C, Seo G, Choi H, Youn S, Lee K. Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload. In 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9284348. (11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020). doi: 10.1109/IISA50023.2020.9284348

Hybrid No-Reference Video Quality Models for H.264 with Encrypted Payload

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