{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GEH6INMC7RPCENQMZ67VPVA5B6","short_pith_number":"pith:GEH6INMC","schema_version":"1.0","canonical_sha256":"310fe43582fc5e22360ccfbf57d41d0f9103cde8221f1b0ca1a377e09f950f5f","source":{"kind":"arxiv","id":"2606.01576","version":1},"attestation_state":"computed","paper":{"title":"Deformable Wiener Filter for Future Video Coding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuanmin Jia, Shanshe Wang, Siwei Ma, Xinfeng Zhang, Xuewei Meng","submitted_at":"2026-06-01T02:24:07Z","abstract_excerpt":"In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in Versatile Video Coding (VVC) mainly take advantage of the image local similarity. Although some non-local based in-loop filters can make up for this shortcoming, the widely-used unsupervised parameter estimation method by non-local filters limits the performance. In view of this, we propose a deformable Wiener Filter (DWF). It combines the local and non-local characteristics and supervisedly trains the filter coeffic"},"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":"2606.01576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T02:24:07Z","cross_cats_sorted":[],"title_canon_sha256":"3b4afec8ab79080bdde902a5a4304a32fbf796c444d03a38336d500f69233b59","abstract_canon_sha256":"4ce021896099c85299f8a37ffb8d67063d6840f96cd6c80af7dab09372cc8178"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:37.021206Z","signature_b64":"I+5WOiN0xxvwvXxzAYq+n8iyWWhDUiRaEfFgvxyht898ZbuLFo8lmhJEpbFAVGq++vTFuppfDFKit8miywKiCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"310fe43582fc5e22360ccfbf57d41d0f9103cde8221f1b0ca1a377e09f950f5f","last_reissued_at":"2026-06-02T02:04:37.020798Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:37.020798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deformable Wiener Filter for Future Video Coding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuanmin Jia, Shanshe Wang, Siwei Ma, Xinfeng Zhang, Xuewei Meng","submitted_at":"2026-06-01T02:24:07Z","abstract_excerpt":"In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in Versatile Video Coding (VVC) mainly take advantage of the image local similarity. Although some non-local based in-loop filters can make up for this shortcoming, the widely-used unsupervised parameter estimation method by non-local filters limits the performance. In view of this, we propose a deformable Wiener Filter (DWF). It combines the local and non-local characteristics and supervisedly trains the filter coeffic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01576","kind":"arxiv","version":1},"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/2606.01576/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":"2606.01576","created_at":"2026-06-02T02:04:37.020855+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.01576v1","created_at":"2026-06-02T02:04:37.020855+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01576","created_at":"2026-06-02T02:04:37.020855+00:00"},{"alias_kind":"pith_short_12","alias_value":"GEH6INMC7RPC","created_at":"2026-06-02T02:04:37.020855+00:00"},{"alias_kind":"pith_short_16","alias_value":"GEH6INMC7RPCENQM","created_at":"2026-06-02T02:04:37.020855+00:00"},{"alias_kind":"pith_short_8","alias_value":"GEH6INMC","created_at":"2026-06-02T02:04:37.020855+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/GEH6INMC7RPCENQMZ67VPVA5B6","json":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6.json","graph_json":"https://pith.science/api/pith-number/GEH6INMC7RPCENQMZ67VPVA5B6/graph.json","events_json":"https://pith.science/api/pith-number/GEH6INMC7RPCENQMZ67VPVA5B6/events.json","paper":"https://pith.science/paper/GEH6INMC"},"agent_actions":{"view_html":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6","download_json":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6.json","view_paper":"https://pith.science/paper/GEH6INMC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.01576&json=true","fetch_graph":"https://pith.science/api/pith-number/GEH6INMC7RPCENQMZ67VPVA5B6/graph.json","fetch_events":"https://pith.science/api/pith-number/GEH6INMC7RPCENQMZ67VPVA5B6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6/action/storage_attestation","attest_author":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6/action/author_attestation","sign_citation":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6/action/citation_signature","submit_replication":"https://pith.science/pith/GEH6INMC7RPCENQMZ67VPVA5B6/action/replication_record"}},"created_at":"2026-06-02T02:04:37.020855+00:00","updated_at":"2026-06-02T02:04:37.020855+00:00"}