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Modeling the Time—Varying Subjective Quality of HTTP Video Streams With Rate Adaptations

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6 Author(s)
Chao Chen ; Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA ; Lark Kwon Choi ; de Veciana, G. ; Caramanis, C.
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Newly developed hypertext transfer protocol (HTTP)-based video streaming technologies enable flexible rate-adaptation under varying channel conditions. Accurately predicting the users' quality of experience (QoE) for rate-adaptive HTTP video streams is thus critical to achieve efficiency. An important aspect of understanding and modeling QoE is predicting the up-to-the-moment subjective quality of a video as it is played, which is difficult due to hysteresis effects and nonlinearities in human behavioral responses. This paper presents a Hammerstein-Wiener model for predicting the time-varying subjective quality (TVSQ) of rate-adaptive videos. To collect data for model parameterization and validation, a database of longer duration videos with time-varying distortions was built and the TVSQs of the videos were measured in a large-scale subjective study. The proposed method is able to reliably predict the TVSQ of rate adaptive videos. Since the Hammerstein-Wiener model has a very simple structure, the proposed method is suitable for online TVSQ prediction in HTTP-based streaming.

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Image Processing, IEEE Transactions on  (Volume:23 ,  Issue: 5 )