{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T00:35:40Z","timestamp":1777077340508,"version":"3.51.4"},"reference-count":0,"publisher":"California Digital Library (CDL)","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Systems Research"],"abstract":"<p>We identify new opportunities in video streaming, involving the joint consideration of offline video chunking and on-line rate adaptation. Due to a video\u2019s complexity varyingover time, certain parts are more likely to cause performanceimpairments during playback with a particular rate adaptationalgorithm. To address such an issue, we propose Segue ,which carefully uses variable-length video segments, and augment specific segments with additional bitrate tracks. The keynovelty of our approach is in making such decisions basedon the video\u2019s time-varying complexity and the expected rateadaptation behavior over time. We propose and implementseveral methods for such adaptation-aware chunking. Ourresults show that Segue substantially reduces rebufferingand quality fluctuations, while maintaining video quality delivered; Segue improves QoE by 9% on average, and by 22%in low-bandwidth conditions. Finally, we view our problemframing as a first step in a new thread on algorithmic anddesign innovation in video streaming, and leave the readerwith several interesting open questions.<\/p>","DOI":"10.5070\/sr32158113","type":"journal-article","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T05:00:09Z","timestamp":1658379609000},"source":"Crossref","is-referenced-by-count":2,"title":["[Solution] Prepare your video for streaming with Segue"],"prefix":"10.5070","volume":"2","author":[{"given":"Melissa","family":"Licciardello","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukas","family":"Humbel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabian","family":"Rohr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maximilian","family":"Gr\u00fcner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ankit","family":"Singla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"29705","published-online":{"date-parts":[[2022,1,1]]},"container-title":["Journal of Systems Research"],"original-title":[],"link":[{"URL":"https:\/\/escholarship.org\/content\/qt8m39f25q\/qt8m39f25q.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T23:40:08Z","timestamp":1777074008000},"score":1,"resource":{"primary":{"URL":"https:\/\/escholarship.org\/uc\/item\/8m39f25q"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2022,1,1]]}},"URL":"https:\/\/doi.org\/10.5070\/sr32158113","relation":{},"ISSN":["2770-5501"],"issn-type":[{"value":"2770-5501","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,1]]}}}