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https://ruomoplus.lib.uom.gr/handle/8000/573| Title: | Efficient algorithm for transferring a real-time HEVC stream with haptic data through the internet | Authors: | Kokkonis, Georgios Psannis, Konstantinos Roumeliotis, Μanos Ishibashi, Yutaka |
Author Department Affiliations: | Department of Applied Informatics Department of Applied Informatics |
Author School Affiliations: | School of Information Sciences School of Information Sciences |
Subjects: | FRASCATI__Engineering and technology FRASCATI__Engineering and technology__Electrical engineering, Electronic engineering, Information engineering |
Issue Date: | 2016 | Publisher: | Springer | Journal: | Journal of Real-Time Image Processing | ISSN: | 1861-8200 1861-8219 |
Volume: | 12 | Issue: | 2 | Start page: | 343 | End page: | 355 | Abstract: | It is widely accepted that the growth of Internet and the improvement of Internet’s network conditions helped real-time applications to flourish. The demand for Ultra-High Definition video is constantly increasing. Apart from video and sound, a new kind of real-time data is making its appearance, haptic data. The efficient synchronization of video, audio, and haptic data is a rather challenging effort. The new High-Efficiency Video Coding (HEVC) is quite promising for real-time ultra-high definition video transferring through the Internet. This paper presents related work on High-Efficiency Video Coding. It points out the challenges and the synchronization techniques that have been proposed for synchronizing video and haptic data. Comparative tests between H.264 and HEVC are undertaken. Measurements for the network conditions of the Internet are carried out. The equations for the transferring delay of all the inter-prediction configurations of the HEVC are defined. Finally, it proposes a new efficient algorithm for transferring a real-time HEVC stream with haptic data through the Internet. |
URI: | https://doi.org/10.1007/s11554-015-0505-7 https://ruomoplus.lib.uom.gr/handle/8000/573 |
DOI: | 10.1007/s11554-015-0505-7 | Corresponding Item Departments: | Department of Applied Informatics Department of Applied Informatics |
| Appears in Collections: | Articles |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Ruomo copy.pdf | 1,13 MB | Adobe PDF | View/Open |
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