{ "$schema": "/api/schemas/documents.schema.json", "apiVersion": "1.0.0", "generatedAt": "2026-07-09T21:16:49.031Z", "sourcePath": "src/main/data/docs", "docId": "10.5594-M00409", "document": { "abstract": "Accurate measurement of network characteristics is critical to ensure that networks are operating optimally as designed and configured. Present network measurement metrics, such as packet loss ratio and average latency, were designed to assess the impact of network impairments on data applications. However, as IP networks are increasingly used to carry multimedia traffic such as voice-over-IP and video-over-IP, which are much more sensitive to errors than file transfer, e-mail or web traffic, these data-centric network measurement metrics have become insufficient. For example, highly-compressed MPEG video traffic exhibits a strong content correlation from one packet to the next packet, and thus, the loss of one packet may render a large number of perfectly received packets useless. One study (see [1]) shows that for a given MPEG-compressed stream, a packet loss rate as low as 3% may be translated into a video frame error rate as high as 30%. Therefore, the packet loss rate does not accurately reflect the severity of a network impairment's effect on video quality. Furthermore, as video carriers increasingly use Forward Error Correction (FEC) techniques to recover packet loss, measurement metrics designed to optimally configure the FEC operating parameters to match the network condition become highly desirable. In this paper, we review a set of traditional network measurement metrics that are commonly used for data applications and discuss the deficiencies of these metrics for providing an accurate picture of video quality. We then discuss how video quality metrics can be derived from network performance metrics using simple equations and propose video-centric network metrics to compute such quality metrics. We also show how these video-centric metrics can be used to derive a probabilistic loss model which in turn can be used to evaluate the performance of a FEC algorithm.", "abstract$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "authors": [ { "affiliation": "Path 1 Network Technologies, Inc. San Diego, California, USA", "name": "Henry Sariowan" } ], "authors$meta": { "confidence": "high", "note": "Object form (schema 2.3.0) migrated from string form via migrateAuthorsToObjectForm.js; bio/affiliation backfilled from _source/SMPTE/HIGHWIRE/ NLM ++", "source": "parsed", "updated": "2026-06-23T00:04:25.562Z", "version": "authors-migrate-object-form@v1" }, "contentType": "orig-research", "contentType$meta": { "confidence": "high", "note": "Canonical-confirmed full paper (summary-abstract set is orig-research in the SMPTE canonical repos); HIGHWIRE-era abstract label was a delivery artifact", "originalValue": "summary-abstract", "source": "resolved", "updated": "2026-07-09T19:12:47.628Z", "version": "contenttype-fixes@v1" }, "copyright": { "holder": "Society of Motion Picture and Television Engineers, Inc.", "holder$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "year": "2005", "year$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" } }, "copyright$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docId": "10.5594-M00409", "docId$meta": { "confidence": "high", "note": "Derived from DOI 10.5594/M00409", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docLabel": "SMPTE Meetings and Conferences ( November 2005)", "docLabel$meta": { "confidence": "medium", "note": "Composed from venue title, volume/issue and date", "source": "inferred", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docTitle": "Video Quality Monitoring over IP Networks", "docTitle$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docType": "Conference Paper", "docType$meta": { "confidence": "high", "note": "NLM
— SMPTE conference paper", "source": "inferred", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "doi": "10.5594/M00409", "doi$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "href": "https://doi.org/10.5594/M00409", "href$meta": { "confidence": "high", "note": "Constructed from DOI 10.5594/M00409", "source": "inferred", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "number": "11", "number$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "pages": "1–12", "pages$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "publicationDate": "2005-11-01", "publicationDate$meta": { "confidence": "high", "note": "Day absent in NLM source — padded to 01", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "publisher": "SMPTE", "publisher$meta": { "confidence": "high", "note": "Normalised to registry \"SMPTE\" convention from NLM publisher-name (The Society of Motion Picture and Television Engineers)", "source": "inferred", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "publisherLocation": { "city": "White Plains, NY", "city$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" } }, "publisherLocation$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "references": { "bibliographic": [ "orphan/10.5594-M00409/bibr1-10.5594_M00409", "orphan/10.5594-M00409/bibr2-10.5594_M00409", "orphan/10.5594-M00409/bibr3-10.5594_M00409", "orphan/10.5594-M00409/bibr4-10.5594_M00409", "orphan/10.5594-M00409/bibr5-10.5594_M00409", "orphan/10.5594-M00409/bibr6-10.5594_M00409", "orphan/10.5594-M00409/bibr7-10.5594_M00409", "orphan/10.5594-M00409/bibr8-10.5594_M00409", "orphan/10.5594-M00409/bibr9-10.5594_M00409", "orphan/10.5594-M00409/bibr10-10.5594_M00409", "orphan/10.5594-M00409/bibr11-10.5594_M00409", "orphan/10.5594-M00409/bibr12-10.5594_M00409", "orphan/10.5594-M00409/bibr13-10.5594_M00409", "orphan/10.5594-M00409/bibr14-10.5594_M00409", "orphan/10.5594-M00409/bibr15-10.5594_M00409", "orphan/10.5594-M00409/bibr16-10.5594_M00409", "orphan/10.5594-M00409/bibr17-10.5594_M00409", "orphan/10.5594-M00409/bibr18-10.5594_M00409", "orphan/10.5594-M00409/bibr19-10.5594_M00409" ], "bibliographic$meta": { "confidence": "medium", "note": "Extracted from NLM via extractSmpteConferenceRefs.js (orphan-slug-mint)", "source": "parsed", "updated": "2026-07-06T20:02:43.384Z" } }, "resolvedHref": "https://journal.smpte.org/conferences/147th%20SMPTE%20Technical%20Conference%20and%20Exhibition/33/", "resolvedHref$meta": { "confidence": "high", "note": "Backfilled from url.validate report #resolvedHref", "originalValue": null, "source": "resolved", "updated": "2026-06-19T20:59:07.439Z" }, "status": { "active": true, "active$meta": { "confidence": "medium", "note": "No explicit status in NLM source — conference papers default active", "source": "inferred", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" } }, "volume": "2005", "volume$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00409.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" } } }