Abstract
Due to the sheer size of Light Field (LF) video, the traffic of LF video is many times larger than traditional multimedia, which brings new challenges on how to efficiently store and transmit this huge amount of complex data. In this paper, we propose an interactive LF video streaming system with user-dependent view selection and coding scheme. The user trajectory prediction model proposed in this paper can be used to calculate the viewing area of the user in a limited consecutive number of time slots. With the projection model, the system can determine the interested views of the user for transmission. Furthermore, we construct a special LF video sequence with only the selected view at a consecutive number of time slots. By reducing the number of views for transmission, the system can significantly reduce the traffic load in transmission and realize a low-latency real-time LF video application.
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Acknowledgement
This work was supported in part by the National Natural Science Foundation of China (Grant No: 61772436), Sichuan Science and Technology Innovation Seedling Fund (2017RZ0015), and the Fundamental Research Funds for the Central Universities.
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Wang, B., Peng, Q., Wu, X., Wang, E., Xiang, W. (2018). An Interactive Light Field Video System with User-Dependent View Selection and Coding Scheme. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11165. Springer, Cham. https://doi.org/10.1007/978-3-030-00767-6_67
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DOI: https://doi.org/10.1007/978-3-030-00767-6_67
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