TY - JOUR
T1 - QoE Evaluation of Multimedia Services Based on Audiovisual Quality and User Interest
AU - Song, Jiarun
AU - Yang, Fuzheng
AU - Zhou, Yicong
AU - Wan, Shuai
AU - Wu, Hong Ren
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3
Y1 - 2016/3
N2 - Quality of experience (QoE) has significant influence on whether or not a user will choose a service or product in the competitive era. For multimedia services, there are various factors in a communication ecosystem working together on users, which stimulate their different senses inducing multidimensional perceptions of the services, and inevitably increase the difficulty in measurement and estimation of the user's QoE. In this paper, a user-centric objective QoE evaluation model (QAVIC model for short) is proposed to estimate the user's overall QoE for audiovisual services, which takes account of perceptual audiovisual quality (QAV) and user interest in audiovisual content (IC) amongst influencing factors on QoE such as technology, content, context, and user in the communication ecosystem. To predict the user interest, a number of general viewing behaviors are considered to formulate the IC evaluation model. Subjective tests have been conducted for training and validation of the QAVIC model. The experimental results show that the proposed QAVIC model can estimate the user's QoE reasonably accurately using a 5-point scale absolute category rating scheme.
AB - Quality of experience (QoE) has significant influence on whether or not a user will choose a service or product in the competitive era. For multimedia services, there are various factors in a communication ecosystem working together on users, which stimulate their different senses inducing multidimensional perceptions of the services, and inevitably increase the difficulty in measurement and estimation of the user's QoE. In this paper, a user-centric objective QoE evaluation model (QAVIC model for short) is proposed to estimate the user's overall QoE for audiovisual services, which takes account of perceptual audiovisual quality (QAV) and user interest in audiovisual content (IC) amongst influencing factors on QoE such as technology, content, context, and user in the communication ecosystem. To predict the user interest, a number of general viewing behaviors are considered to formulate the IC evaluation model. Subjective tests have been conducted for training and validation of the QAVIC model. The experimental results show that the proposed QAVIC model can estimate the user's QoE reasonably accurately using a 5-point scale absolute category rating scheme.
KW - Audiovisual quality
KW - audiovisual services
KW - quality of experience (QoE)
KW - user interest
KW - viewing behavior
UR - http://www.scopus.com/inward/record.url?scp=84962264863&partnerID=8YFLogxK
U2 - 10.1109/TMM.2016.2520090
DO - 10.1109/TMM.2016.2520090
M3 - 文章
AN - SCOPUS:84962264863
SN - 1520-9210
VL - 18
SP - 444
EP - 457
JO - IEEE Transactions on Multimedia
JF - IEEE Transactions on Multimedia
IS - 3
M1 - 7389378
ER -