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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Video Quality Metric for Streaming Service Using DASH Standard

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Autor(es):
Rodriguez, Demostenes Zegarra ; Rosa, Renata Lopes ; Alfaia, Eduardo Costa ; Abrahao, Julia Issy ; Bressan, Graca
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: IEEE TRANSACTIONS ON BROADCASTING; v. 62, n. 3, p. 628-639, SEP 2016.
Citações Web of Science: 17
Resumo

Currently, dynamic adaptive streaming over HTTP (DASH) standard is used to change the video resolution according to the network capacity of the end user's. However, if the video resolution changes frequently, the attention of the users can be affected decreasing their quality-of-experience (QoE). In this context, this paper proposes a no-reference video quality metric that takes three impairment factors into account, initial buffering delay, temporal interruptions or pauses, and video resolution changes during a video transmission. Also, the temporal locations of pauses and resolution changes are considered. In order to perform this task, extensive subjective tests were conducted. Experimental results show that the evaluators' QoE is highly correlated with the frequency of pauses, video resolution changes and initial delay. Based on these results a video streaming quality metric for DASH services (VsQMDASH) is formulated and implemented on PC and mobile hand-held devices. Finally, the performance of VsQMDASH is validated with additional subjective tests reaching a person correlation coefficient of 0.99. Furthermore, experimental results demonstrated that the proposed metric has low complexity because it is based on application level parameters and its energy consumption is negligible in relation to the energy consumed by the video player; therefore, can be easily implemented in consumer electronic devices. (AU)

Processo FAPESP: 11/12724-8 - Definição de índice de qualidade para avaliação de QoE no serviço de streaming de vídeo
Beneficiário:Demostenes Zegarra Rodriguez
Modalidade de apoio: Bolsas no Brasil - Doutorado