{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:4KPRA3QRSANKKLYQZ7GEUXKWS3","short_pith_number":"pith:4KPRA3QR","schema_version":"1.0","canonical_sha256":"e29f106e11901aa52f10cfcc4a5d5696c4ce2958bc0153847fbef3582f56ed27","source":{"kind":"arxiv","id":"2407.16990","version":6},"attestation_state":"computed","paper":{"title":"Region-based Content Enhancement for Efficient Video Analytics at the Edge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Haipeng Dai, Liang Mi, Shaowei Cen, Weijun Wang, Xiaoming Fu, Yuanchun Li, Yunxin Liu","submitted_at":"2024-07-24T04:17:32Z","abstract_excerpt":"Video analytics is widespread in various applications serving our society. Recent advances of content enhancement in video analytics offer significant benefits for the bandwidth saving and accuracy improvement. However, existing content-enhanced video analytics systems are excessively computationally expensive and provide extremely low throughput. In this paper, we present region-based content enhancement, that enhances only the important regions in videos, to improve analytical accuracy. Our system, RegenHance, enables high-accuracy and high-throughput video analytics at the edge by 1) a macr"},"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":"2407.16990","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-07-24T04:17:32Z","cross_cats_sorted":[],"title_canon_sha256":"1a8d818993c4b573b6f0fa101c118591e47a8e51e412243fd84aae9211c5f9f4","abstract_canon_sha256":"0e7b5904974873b6008c9e190bb1ac67415fb477916261fb0aa5f9735cb6fdf1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:43:37.737513Z","signature_b64":"knZZmOKbju17oAKtC7PPdCvDwfnGWujlio54mOUT/lFCR5dVVzNL45fZplLQKJef2oXkWNvTYT/WlHxnscZkCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e29f106e11901aa52f10cfcc4a5d5696c4ce2958bc0153847fbef3582f56ed27","last_reissued_at":"2026-07-05T10:43:37.736991Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:43:37.736991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Region-based Content Enhancement for Efficient Video Analytics at the Edge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Haipeng Dai, Liang Mi, Shaowei Cen, Weijun Wang, Xiaoming Fu, Yuanchun Li, Yunxin Liu","submitted_at":"2024-07-24T04:17:32Z","abstract_excerpt":"Video analytics is widespread in various applications serving our society. Recent advances of content enhancement in video analytics offer significant benefits for the bandwidth saving and accuracy improvement. However, existing content-enhanced video analytics systems are excessively computationally expensive and provide extremely low throughput. In this paper, we present region-based content enhancement, that enhances only the important regions in videos, to improve analytical accuracy. Our system, RegenHance, enables high-accuracy and high-throughput video analytics at the edge by 1) a macr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.16990","kind":"arxiv","version":6},"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/2407.16990/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":"2407.16990","created_at":"2026-07-05T10:43:37.737047+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.16990v6","created_at":"2026-07-05T10:43:37.737047+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.16990","created_at":"2026-07-05T10:43:37.737047+00:00"},{"alias_kind":"pith_short_12","alias_value":"4KPRA3QRSANK","created_at":"2026-07-05T10:43:37.737047+00:00"},{"alias_kind":"pith_short_16","alias_value":"4KPRA3QRSANKKLYQ","created_at":"2026-07-05T10:43:37.737047+00:00"},{"alias_kind":"pith_short_8","alias_value":"4KPRA3QR","created_at":"2026-07-05T10:43:37.737047+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/4KPRA3QRSANKKLYQZ7GEUXKWS3","json":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3.json","graph_json":"https://pith.science/api/pith-number/4KPRA3QRSANKKLYQZ7GEUXKWS3/graph.json","events_json":"https://pith.science/api/pith-number/4KPRA3QRSANKKLYQZ7GEUXKWS3/events.json","paper":"https://pith.science/paper/4KPRA3QR"},"agent_actions":{"view_html":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3","download_json":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3.json","view_paper":"https://pith.science/paper/4KPRA3QR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.16990&json=true","fetch_graph":"https://pith.science/api/pith-number/4KPRA3QRSANKKLYQZ7GEUXKWS3/graph.json","fetch_events":"https://pith.science/api/pith-number/4KPRA3QRSANKKLYQZ7GEUXKWS3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3/action/storage_attestation","attest_author":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3/action/author_attestation","sign_citation":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3/action/citation_signature","submit_replication":"https://pith.science/pith/4KPRA3QRSANKKLYQZ7GEUXKWS3/action/replication_record"}},"created_at":"2026-07-05T10:43:37.737047+00:00","updated_at":"2026-07-05T10:43:37.737047+00:00"}