{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:DX6K7HHY5WUK3ZU5KHSS3C3UOI","short_pith_number":"pith:DX6K7HHY","schema_version":"1.0","canonical_sha256":"1dfcaf9cf8eda8ade69d51e52d8b747229688037cca524d59db014c715383a6f","source":{"kind":"arxiv","id":"1603.04838","version":2},"attestation_state":"computed","paper":{"title":"Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Laurent Najman (LIGM), LIGM, Thierry G\\'eraud (LRDE), TSI), Yongchao Xu (LRDE","submitted_at":"2016-03-15T19:51:10Z","abstract_excerpt":"Hierarchies, such as the tree of shapes, are popular representations for image simplification and segmentation thanks to their multiscale structures. Selecting meaningful level lines (boundaries of shapes) yields to simplify image while preserving intact salient structures. Many image simplification and segmentation methods are driven by the optimization of an energy functional, for instance the celebrated Mumford-Shah functional. In this paper, we propose an efficient approach to hierarchical image simplification and segmentation based on the minimization of the piecewise-constant Mumford-Sha"},"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":"1603.04838","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-15T19:51:10Z","cross_cats_sorted":[],"title_canon_sha256":"49f7f68d35153447368e0f725debe853b53d85733ceabbc4b6ca49cb98feb91e","abstract_canon_sha256":"13406e72a503fcc6389e9fa61181c8f51dfd8fe488df3cd6c412c1f24f6a8c5b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:14:43.744910Z","signature_b64":"7x7pkvpf31bXkAoymzL66kZgWwcb5P0xI1EtN4EX0VSu/y+EoNgEABtn1qNVAFpdmU5UU85hU7ItAkRJfrwGAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1dfcaf9cf8eda8ade69d51e52d8b747229688037cca524d59db014c715383a6f","last_reissued_at":"2026-05-18T01:14:43.744160Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:14:43.744160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Laurent Najman (LIGM), LIGM, Thierry G\\'eraud (LRDE), TSI), Yongchao Xu (LRDE","submitted_at":"2016-03-15T19:51:10Z","abstract_excerpt":"Hierarchies, such as the tree of shapes, are popular representations for image simplification and segmentation thanks to their multiscale structures. Selecting meaningful level lines (boundaries of shapes) yields to simplify image while preserving intact salient structures. Many image simplification and segmentation methods are driven by the optimization of an energy functional, for instance the celebrated Mumford-Shah functional. In this paper, we propose an efficient approach to hierarchical image simplification and segmentation based on the minimization of the piecewise-constant Mumford-Sha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04838","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":""},"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":"1603.04838","created_at":"2026-05-18T01:14:43.744265+00:00"},{"alias_kind":"arxiv_version","alias_value":"1603.04838v2","created_at":"2026-05-18T01:14:43.744265+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04838","created_at":"2026-05-18T01:14:43.744265+00:00"},{"alias_kind":"pith_short_12","alias_value":"DX6K7HHY5WUK","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_16","alias_value":"DX6K7HHY5WUK3ZU5","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_8","alias_value":"DX6K7HHY","created_at":"2026-05-18T12:30:12.583610+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/DX6K7HHY5WUK3ZU5KHSS3C3UOI","json":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI.json","graph_json":"https://pith.science/api/pith-number/DX6K7HHY5WUK3ZU5KHSS3C3UOI/graph.json","events_json":"https://pith.science/api/pith-number/DX6K7HHY5WUK3ZU5KHSS3C3UOI/events.json","paper":"https://pith.science/paper/DX6K7HHY"},"agent_actions":{"view_html":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI","download_json":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI.json","view_paper":"https://pith.science/paper/DX6K7HHY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1603.04838&json=true","fetch_graph":"https://pith.science/api/pith-number/DX6K7HHY5WUK3ZU5KHSS3C3UOI/graph.json","fetch_events":"https://pith.science/api/pith-number/DX6K7HHY5WUK3ZU5KHSS3C3UOI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI/action/storage_attestation","attest_author":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI/action/author_attestation","sign_citation":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI/action/citation_signature","submit_replication":"https://pith.science/pith/DX6K7HHY5WUK3ZU5KHSS3C3UOI/action/replication_record"}},"created_at":"2026-05-18T01:14:43.744265+00:00","updated_at":"2026-05-18T01:14:43.744265+00:00"}