{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:4YCUCMU4QQD2NW7ABRA75MYSHI","short_pith_number":"pith:4YCUCMU4","schema_version":"1.0","canonical_sha256":"e60541329c8407a6dbe00c41feb3123a07b1dcbaf94551a63a5bfd01b4e1b135","source":{"kind":"arxiv","id":"2404.04848","version":2},"attestation_state":"computed","paper":{"title":"Task-Aware Encoder Control for Deep Video Compression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Dailan He, Guo Lu, Hongwei Qin, Jing Geng, Jixiang Luo, Jun Zhang, Tongda Xu, Xingtong Ge, Xinjie Zhang, Yan Wang","submitted_at":"2024-04-07T07:42:04Z","abstract_excerpt":"Prior research on deep video compression (DVC) for machine tasks typically necessitates training a unique codec for each specific task, mandating a dedicated decoder per task. In contrast, traditional video codecs employ a flexible encoder controller, enabling the adaptation of a single codec to different tasks through mechanisms like mode prediction. Drawing inspiration from this, we introduce an innovative encoder controller for deep video compression for machines. This controller features a mode prediction and a Group of Pictures (GoP) selection module. Our approach centralizes control at t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2404.04848","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-04-07T07:42:04Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"2c4fa826aff75d1de2a4ebea8a44c5b9ab14ebcc21b1143b84a60ebb52162643","abstract_canon_sha256":"6a91e457a427384146d1b200c9cbaa0cbf0ea14e2807a95b49e1546afec13b24"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:10:25.807786Z","signature_b64":"iCMWi4MGMHhuC+hzF+Y6gkWZbcG+FcoYNiP9MDY+3METklfJvnBywqP5gSF2XCCiNQ2pj0oS0818uEqTnaNiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e60541329c8407a6dbe00c41feb3123a07b1dcbaf94551a63a5bfd01b4e1b135","last_reissued_at":"2026-07-05T08:10:25.807304Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:10:25.807304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Task-Aware Encoder Control for Deep Video Compression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Dailan He, Guo Lu, Hongwei Qin, Jing Geng, Jixiang Luo, Jun Zhang, Tongda Xu, Xingtong Ge, Xinjie Zhang, Yan Wang","submitted_at":"2024-04-07T07:42:04Z","abstract_excerpt":"Prior research on deep video compression (DVC) for machine tasks typically necessitates training a unique codec for each specific task, mandating a dedicated decoder per task. In contrast, traditional video codecs employ a flexible encoder controller, enabling the adaptation of a single codec to different tasks through mechanisms like mode prediction. Drawing inspiration from this, we introduce an innovative encoder controller for deep video compression for machines. This controller features a mode prediction and a Group of Pictures (GoP) selection module. Our approach centralizes control at t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04848","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.04848/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2404.04848","created_at":"2026-07-05T08:10:25.807382+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.04848v2","created_at":"2026-07-05T08:10:25.807382+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04848","created_at":"2026-07-05T08:10:25.807382+00:00"},{"alias_kind":"pith_short_12","alias_value":"4YCUCMU4QQD2","created_at":"2026-07-05T08:10:25.807382+00:00"},{"alias_kind":"pith_short_16","alias_value":"4YCUCMU4QQD2NW7A","created_at":"2026-07-05T08:10:25.807382+00:00"},{"alias_kind":"pith_short_8","alias_value":"4YCUCMU4","created_at":"2026-07-05T08:10:25.807382+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI","json":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI.json","graph_json":"https://pith.science/api/pith-number/4YCUCMU4QQD2NW7ABRA75MYSHI/graph.json","events_json":"https://pith.science/api/pith-number/4YCUCMU4QQD2NW7ABRA75MYSHI/events.json","paper":"https://pith.science/paper/4YCUCMU4"},"agent_actions":{"view_html":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI","download_json":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI.json","view_paper":"https://pith.science/paper/4YCUCMU4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.04848&json=true","fetch_graph":"https://pith.science/api/pith-number/4YCUCMU4QQD2NW7ABRA75MYSHI/graph.json","fetch_events":"https://pith.science/api/pith-number/4YCUCMU4QQD2NW7ABRA75MYSHI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI/action/storage_attestation","attest_author":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI/action/author_attestation","sign_citation":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI/action/citation_signature","submit_replication":"https://pith.science/pith/4YCUCMU4QQD2NW7ABRA75MYSHI/action/replication_record"}},"created_at":"2026-07-05T08:10:25.807382+00:00","updated_at":"2026-07-05T08:10:25.807382+00:00"}