{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:JBZNBQK3W3SLJQT4YMBHTJWDFL","short_pith_number":"pith:JBZNBQK3","schema_version":"1.0","canonical_sha256":"4872d0c15bb6e4b4c27cc30279a6c32ad9e77df5855d025b175c99fb661997cc","source":{"kind":"arxiv","id":"1612.01235","version":1},"attestation_state":"computed","paper":{"title":"Turning an Urban Scene Video into a Cinemagraph","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hang Yan, Yasutaka Furukawa, Yebin Liu","submitted_at":"2016-12-05T03:09:27Z","abstract_excerpt":"This paper proposes an algorithm that turns a regular video capturing urban scenes into a high-quality endless animation, known as a Cinemagraph. The creation of a Cinemagraph usually requires a static camera in a carefully configured scene. The task becomes challenging for a regular video with a moving camera and objects. Our approach first warps an input video into the viewpoint of a reference camera. Based on the warped video, we propose effective temporal analysis algorithms to detect regions with static geometry and dynamic appearance, where geometric modeling is reliable and visually att"},"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":"1612.01235","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-05T03:09:27Z","cross_cats_sorted":[],"title_canon_sha256":"b557a05868d9f73e8b46afa7a8526c33dcdb77384022abbfea4a212e2b987e41","abstract_canon_sha256":"db0e42c6635636c357228032f2f88c6eef19a89bd54905fcdbaf6a28d35896c8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:55:53.093618Z","signature_b64":"SeRU8JiOiTrftUm+z3QrjqGY6Yq/uq4++4H7g4SyQ/wdgBkkjsjMtaCwDAY9kZiY1QlvkyHpN7CJL2W7W99RDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4872d0c15bb6e4b4c27cc30279a6c32ad9e77df5855d025b175c99fb661997cc","last_reissued_at":"2026-05-18T00:55:53.093124Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:55:53.093124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Turning an Urban Scene Video into a Cinemagraph","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hang Yan, Yasutaka Furukawa, Yebin Liu","submitted_at":"2016-12-05T03:09:27Z","abstract_excerpt":"This paper proposes an algorithm that turns a regular video capturing urban scenes into a high-quality endless animation, known as a Cinemagraph. The creation of a Cinemagraph usually requires a static camera in a carefully configured scene. The task becomes challenging for a regular video with a moving camera and objects. Our approach first warps an input video into the viewpoint of a reference camera. Based on the warped video, we propose effective temporal analysis algorithms to detect regions with static geometry and dynamic appearance, where geometric modeling is reliable and visually att"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.01235","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":""},"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":"1612.01235","created_at":"2026-05-18T00:55:53.093193+00:00"},{"alias_kind":"arxiv_version","alias_value":"1612.01235v1","created_at":"2026-05-18T00:55:53.093193+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.01235","created_at":"2026-05-18T00:55:53.093193+00:00"},{"alias_kind":"pith_short_12","alias_value":"JBZNBQK3W3SL","created_at":"2026-05-18T12:30:25.849896+00:00"},{"alias_kind":"pith_short_16","alias_value":"JBZNBQK3W3SLJQT4","created_at":"2026-05-18T12:30:25.849896+00:00"},{"alias_kind":"pith_short_8","alias_value":"JBZNBQK3","created_at":"2026-05-18T12:30:25.849896+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/JBZNBQK3W3SLJQT4YMBHTJWDFL","json":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL.json","graph_json":"https://pith.science/api/pith-number/JBZNBQK3W3SLJQT4YMBHTJWDFL/graph.json","events_json":"https://pith.science/api/pith-number/JBZNBQK3W3SLJQT4YMBHTJWDFL/events.json","paper":"https://pith.science/paper/JBZNBQK3"},"agent_actions":{"view_html":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL","download_json":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL.json","view_paper":"https://pith.science/paper/JBZNBQK3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1612.01235&json=true","fetch_graph":"https://pith.science/api/pith-number/JBZNBQK3W3SLJQT4YMBHTJWDFL/graph.json","fetch_events":"https://pith.science/api/pith-number/JBZNBQK3W3SLJQT4YMBHTJWDFL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL/action/storage_attestation","attest_author":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL/action/author_attestation","sign_citation":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL/action/citation_signature","submit_replication":"https://pith.science/pith/JBZNBQK3W3SLJQT4YMBHTJWDFL/action/replication_record"}},"created_at":"2026-05-18T00:55:53.093193+00:00","updated_at":"2026-05-18T00:55:53.093193+00:00"}