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  "docId": "10.5594-JMI.2022.3160560",
  "document": {
    "abbrevTitle": "SMPTE Mot. Imag. J",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "abstract": "In Hypertext Transfer Protocol (HTTP) adaptive streaming, the client makes rate adaptation decisions based on the measured network bandwidth and buffer fullness. This simplifies the adaptation logic; however, it often produces noticeable quality fluctuations during the streaming session. With content-aware encoding (CAE), one can improve the visual quality without increasing the total number of bits spent by carefully choosing where the bits are spent based on human perception. However, an adaptation logic that is unaware of the resulting variable-size segments may cause more stalls, defeating the purpose of improving viewer experience through CAE. This article explains the design steps of a size-aware rate adaptation (SARA) logic for one of the most popular Dynamic Adaptive Streaming over HTTP (DASH) clients, namely dash.js, and shows the improvements in rebuffering behavior and fetching top-resolution segments as a result of applying this logic.",
    "abstract$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "authors": [
      {
        "bio": "Ali C. Begen is currently a computer science professor at Özyeğin University, Istanbul, Turkey, and a technical consultant in the Advanced Technology and Standards Group, Comcast. Previously, he was a research and development engineer at Cisco (U.S. and Canada). He received a PhD in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, in 2006. To date, he has received a number of academic and industry awards and has been granted over 30 U.S. patents. In 2020 and 2021, he was listed among the world’s most influential scientists in the subfield of networking and telecommunications. More details are available at https://ali.begen.net.",
        "name": "Ali C. Begen",
        "orcid": "0000-0002-0835-3017"
      },
      {
        "bio": "Mehmet N. Akcay is currently working toward a PhD in computer science at Özyeğin University, Istanbul, Turkey. He received a BSc, in the field of computer engineering, from Istanbul Technical University, Istanbul, in 2005. He completed an MSc in computer engineering from Boğaziçi University, Istanbul, in 2008, and he has been working in the industry for more than ten years. His research interests are HTTP adaptive streaming, low-latency live streaming, and software verification using formal methods.",
        "name": "Mehmet N. Akcay"
      },
      {
        "bio": "Abdelhak Bentaleb received a PhD in computer science from the National University of Singapore (NUS), Singapore, in 2019. He is currently a research fellow in the same department. He is a co-founder of Atlastream Inc., Singapore. He has received many prestigious awards including the SIGMM Award for Outstanding PhD Thesis Award, the DASH-IF Best PhD Dissertation Award, and the Dean’s Graduate Research Excellence Award AY2018/2019. His research interests include multimedia systems and communication, video streaming architectures, content delivery, distributed computing, computer networks and protocols, wireless communications, and mobile networks. Further information can be found at https://www.comp.nus.edu.sg/~bentaleb/.",
        "name": "Abdelhak Bentaleb"
      },
      {
        "bio": "Alex Giladi is a Fellow at Comcast (US).",
        "name": "Alex Giladi"
      }
    ],
    "authors$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
    },
    "contentType": "orig-research",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "copyright": {
      "holder": "SMPTE",
      "holder$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      },
      "year": "2022",
      "year$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      }
    },
    "copyright$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
    },
    "docId": "10.5594-JMI.2022.3160560",
    "docId$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 131, Issue: 4, May 2022)",
    "docLabel$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docTitle": "Adaptive Streaming of Content-Aware-Encoded Videos in dash.js",
    "docTitle$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "docType": "Journal Article",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "doi": "10.5594/JMI.2022.3160560",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "href": "https://doi.org/10.5594/JMI.2022.3160560",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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    "issn": {
      "electronic": "2160-2492",
      "electronic$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
        "source": "parsed",
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        "version": "smpte-idams-publication@v1"
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      "print": "1545-0279",
      "print$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
        "source": "parsed",
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    "issn$meta": {
      "confidence": "high",
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      "version": "smpte-idams-publication@v1"
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    "journalAcronym": "MIJR",
    "journalAcronym$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "journalTitle": "SMPTE Motion Imaging Journal",
    "journalTitle$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "keywords": [
      "Adaptive Bitrate Streaming",
      "DASH",
      "Content-Adaptive Encoding",
      "Dashjs",
      "Rate Adaptation"
    ],
    "keywords$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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    "number": "4",
    "number$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "pages": "30–38",
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      "confidence": "high",
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    "publicationDate": "2022-05-01",
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      "confidence": "high",
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    "publisher": "SMPTE",
    "publisher$meta": {
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      "city": "White Plains, NY",
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        "confidence": "high",
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      "country": "USA",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772091.xml) via idamsIngest.js",
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        "note": "References parsed from the published PDF (Journal Article Repository/2022/7261654/9772088/09772091.pdf). SMPTE's library delivery has no reference file or full text for this paper (src/main/reports/smpte-upstream/referenceFilesTruthTable.md). Cross-check: Crossref lists 13 reference(s) for this DOI; 13 parsed from the PDF.",
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    "volume": "131",
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