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{
    "pk": 57191,
    "title": "[Solution] Prepare your video for streaming with Segue",
    "subtitle": null,
    "abstract": "We identify new opportunities in video streaming, involving the joint consideration of offline video chunking and on-line rate adaptation. Due to a video’s 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’s 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.",
    "language": "en",
    "license": {
        "name": "Creative Commons Attribution-NonCommercial  4.0",
        "short_name": "CC BY-NC 4.0",
        "text": "Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.\n\nNonCommercial — You may not use the material for commercial purposes.\n\nNo additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.",
        "url": "https://creativecommons.org/licenses/by-nc/4.0"
    },
    "keywords": [],
    "section": "Articles",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8m39f25q",
    "frozenauthors": [
        {
            "first_name": "Melissa",
            "middle_name": "",
            "last_name": "Licciardello",
            "name_suffix": "",
            "institution": "ETH Zürich",
            "department": ""
        },
        {
            "first_name": "Lukas",
            "middle_name": "",
            "last_name": "Humbel",
            "name_suffix": "",
            "institution": "ETH Zürich",
            "department": ""
        },
        {
            "first_name": "Fabian",
            "middle_name": "",
            "last_name": "Rohr",
            "name_suffix": "",
            "institution": "ETH Zürich",
            "department": ""
        },
        {
            "first_name": "Maximilian",
            "middle_name": "",
            "last_name": "Grüner",
            "name_suffix": "",
            "institution": "ETH Zürich",
            "department": ""
        },
        {
            "first_name": "Ankit",
            "middle_name": "",
            "last_name": "Singla",
            "name_suffix": "",
            "institution": "ETH Zürich",
            "department": ""
        }
    ],
    "date_submitted": "2022-07-21T01:58:57-07:00",
    "date_accepted": "2022-07-21T01:58:57-07:00",
    "date_published": "2021-12-31T16:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/jsys/article/57191/galley/43388/download/"
        }
    ]
}