{"paper":{"title":"Dynamic resolution switching for live streaming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"A bitstream quality metric lets live streams switch resolutions dynamically to cut bitrate needs by 9 percent while using existing protocols.","cross_cats":["cs.MM"],"primary_cat":"eess.IV","authors_text":"Hai Wei, Sriram Sethuraman, Xin Xiong, Yixu Chen, Yongjun Wu","submitted_at":"2026-05-15T00:15:13Z","abstract_excerpt":"Conventional adaptive bitrate (ABR) streaming systems typically rely on static bitrate ladders to optimize Quality of Experience (QoE). While operationally simple, this \"one-size-fits-all\" approach neglects content-specific characteristics, often compromising streaming efficiency. Per-title optimization methods address this by predicting the rate-distortion convex hull directly from the source content, but their reliance on pre-encoding source analysis can limit their applicability to live streaming. Moreover, the objective video quality metrics (VQMs) they rely on are optimized for overall co"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"The DRS framework with its lightweight bitstream-based VQM, trained to maximize subjective resolution cross-over prediction accuracy, enables dynamic ladder construction that achieves approximately 9% BD-rate reduction while remaining fully compatible with existing streaming protocols for live use.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The bitstream-based VQM trained on Pairwise Comparison datasets will accurately identify resolution cross-over points for unseen live content in real time, and that the resulting dynamic selections will translate to measurable QoE gains without introducing unacceptable latency or protocol incompatibility.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Presents DRS framework for live streaming with a lightweight bitstream VQM trained on pairwise comparison data to dynamically select optimal resolutions per segment, reporting ~9% BD-rate reduction.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A bitstream quality metric lets live streams switch resolutions dynamically to cut bitrate needs by 9 percent while using existing protocols.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"2e8ddb0ef61ef9d12a6dc7cd5620b24818cb85c008a8915143d39507de7ab0df"},"source":{"id":"2605.15490","kind":"arxiv","version":1},"verdict":{"id":"4929f4d8-ab6a-4933-ac6c-f62c3e4ac689","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-19T15:56:52.890138Z","strongest_claim":"The DRS framework with its lightweight bitstream-based VQM, trained to maximize subjective resolution cross-over prediction accuracy, enables dynamic ladder construction that achieves approximately 9% BD-rate reduction while remaining fully compatible with existing streaming protocols for live use.","one_line_summary":"Presents DRS framework for live streaming with a lightweight bitstream VQM trained on pairwise comparison data to dynamically select optimal resolutions per segment, reporting ~9% BD-rate reduction.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The bitstream-based VQM trained on Pairwise Comparison datasets will accurately identify resolution cross-over points for unseen live content in real time, and that the resulting dynamic selections will translate to measurable QoE gains without introducing unacceptable latency or protocol incompatibility.","pith_extraction_headline":"A bitstream quality metric lets live streams switch resolutions dynamically to cut bitrate needs by 9 percent while using existing protocols."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.15490/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_title_agreement","ran_at":"2026-05-19T16:31:18.227653Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T16:04:39.945108Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"cited_work_retraction","ran_at":"2026-05-19T14:51:57.115080Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T14:21:54.072546Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"citation_quote_validity","ran_at":"2026-05-19T13:49:41.400531Z","status":"skipped","version":"0.1.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T13:33:22.648993Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"46257564cf5f3670438a3fee76c72cfb23134513c538dc76f7777f895100374f"},"references":{"count":22,"sample":[{"doi":"","year":2026,"title":"Dynamic resolution switching for live streaming","work_id":"1b92e1c6-f8cd-409e-b277-a0e0ef4bdb53","ref_index":1,"cited_arxiv_id":"2605.15490","is_internal_anchor":true},{"doi":"","year":1988,"title":"A VC-EQM MODEL 2.1. Feature selection Although EQM [10] was initially developed for HEVC [14], the strict real-time constraints of live streaming often limit the feasi- bility of HEVC in high-density ","work_id":"0f70e8ff-e53f-4844-9e17-e2c6881bc496","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":null,"title":"We then evaluate the resulting performance in subsection 3.2","work_id":"5f7b7edf-2870-48c4-83ec-0a4a814ace22","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":null,"title":"The core of the method is selecting the optimal resolution, as measured by an efficient VQM, at any given bitrate during encoding","work_id":"b233e7dc-ea1d-442c-9417-7d84273adc0f","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2019,"title":"A survey on bitrate adapta- tion schemes for streaming media over http,","work_id":"57b29138-4170-48f9-8216-9df2efdc5eee","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":22,"snapshot_sha256":"dc4259bcd33da1e1673b401dc533086a5b7a9d5deec5a42261d8f55c0ad1212f","internal_anchors":2},"formal_canon":{"evidence_count":1,"snapshot_sha256":"d5d9e21eb0d961c30a9a6537f5d612fe1cdc32db52194b4e26dba64df2c3a0dc"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}