{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T16:29:59Z","timestamp":1768408199833,"version":"3.49.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T00:00:00Z","timestamp":1704499200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T00:00:00Z","timestamp":1704499200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,6]]},"DOI":"10.1109\/ccnc51664.2024.10454679","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:53:49Z","timestamp":1710788029000},"page":"65-70","source":"Crossref","is-referenced-by-count":5,"title":["BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications"],"prefix":"10.1109","author":[{"given":"Tailai","family":"Song","sequence":"first","affiliation":[{"name":"Politecnico di Torino,Turin,Italy"}]},{"given":"Gianluca","family":"Perna","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Turin,Italy"}]},{"given":"Paolo","family":"Garza","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Turin,Italy"}]},{"given":"Michela","family":"Meo","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Turin,Italy"}]},{"given":"Maurizio Matteo","family":"Munaf\u00f2","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Turin,Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2021.e08165"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2020.00007"},{"key":"ref3","article-title":"RTP: A transport protocol for real-time applications","author":"Frederick","year":"1996","journal-title":"RFC 1889"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2240136.2240137"},{"key":"ref5","volume-title":"Videoconferencing: The whole picture","author":"Wilcox","year":"2017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2011.2141680"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3199524.3199534"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref9","volume-title":"Fundamentals of adaptive filtering","author":"Sayed","year":"2003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2910017.2910608"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2756937"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/wowmom51794.2021.00048"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107515"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS48256.2020.9027383"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796948"},{"key":"ref18","author":"Yin","year":"2021","journal-title":"Ant: Learning accurate network throughput for better adaptive video streaming"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108529"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MSN53354.2021.00046"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3563766.3564104"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2008.05.004"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2_380"},{"key":"ref24","volume-title":"Deep learning","author":"Goodfellow","year":"2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2020.0209"},{"key":"ref28","first-page":"22419","article-title":"Autoformer: Decomposition trans-formers with auto-correlation for long-term series forecasting","volume":"34","author":"Wu","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3343440"}],"event":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2024,1,6]]},"end":{"date-parts":[[2024,1,9]]}},"container-title":["2024 IEEE 21st Consumer Communications &amp; Networking Conference (CCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10454139\/10454627\/10454679.pdf?arnumber=10454679","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T13:33:45Z","timestamp":1711460025000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10454679\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,6]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ccnc51664.2024.10454679","relation":{},"subject":[],"published":{"date-parts":[[2024,1,6]]}}}