| dc.creator | Koziri M., Papadopoulos P., Tziritas N., Dadaliaris A.N., Loukopoulos T., Stamoulis G.I. | en |
| dc.date.accessioned | 2023-01-31T08:46:51Z | |
| dc.date.available | 2023-01-31T08:46:51Z | |
| dc.date.issued | 2016 | |
| dc.identifier | 10.1109/SMAP.2016.7753380 | |
| dc.identifier.isbn | 9781509052455 | |
| dc.identifier.uri | http://hdl.handle.net/11615/75484 | |
| dc.description.abstract | The ever increasing number of video uploads in social media platforms, together with the incorporation of live video broadcasts and a growing demand for higher video resolution, will likely pose the most significant performance challenge for social media providers in the years to come. The current state of the art in most social media platforms, involves videos in H.264/AVC format. However, recent advances in video encoding such as the HEVC standard offer better compression ratios compared to H.264/AVC at the expense of higher computational demands. As HEVC is gradually replacing the old standard, the possibility of reducing bandwidth consumption and server load by using the more efficient compression scheme can't be overlooked. In this paper we propose a framework to tackle the challenges of adopting HEVC as well as high resolution videos in social media platforms. © 2016 IEEE. | en |
| dc.language.iso | en | en |
| dc.source | Proceedings - 11th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2016 | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006830393&doi=10.1109%2fSMAP.2016.7753380&partnerID=40&md5=96ec0968b106b64edbb736455f07c4a1 | |
| dc.subject | Bandwidth compression | en |
| dc.subject | Encoding (symbols) | en |
| dc.subject | Motion Picture Experts Group standards | en |
| dc.subject | Scheduling | en |
| dc.subject | Semantics | en |
| dc.subject | Social networking (online) | en |
| dc.subject | Video signal processing | en |
| dc.subject | Bandwidth consumption | en |
| dc.subject | Compression scheme | en |
| dc.subject | Computational demands | en |
| dc.subject | HEVC | en |
| dc.subject | Performance challenges | en |
| dc.subject | Social media | en |
| dc.subject | Social media platforms | en |
| dc.subject | Video encodings | en |
| dc.subject | Image compression | en |
| dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
| dc.title | A framework for scheduling the encoding of multiple smart user videos | en |
| dc.type | conferenceItem | en |