{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:3HBDTB4BE3FGWJYCGZLXEXWZ3U","short_pith_number":"pith:3HBDTB4B","canonical_record":{"source":{"id":"1702.08640","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-02-28T04:33:00Z","cross_cats_sorted":[],"title_canon_sha256":"eac49adc9a60a847fb547c46c81015b39a0ef01d947c2010273d1788468be594","abstract_canon_sha256":"c0d2b28d02a6deb25fcece74e95387a842907e4525c768d8f49ccb4ab400962f"},"schema_version":"1.0"},"canonical_sha256":"d9c239878126ca6b27023657725ed9dd212b1b6632f4518901175cd0480c5585","source":{"kind":"arxiv","id":"1702.08640","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08640","created_at":"2026-05-18T00:20:22Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08640v5","created_at":"2026-05-18T00:20:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08640","created_at":"2026-05-18T00:20:22Z"},{"alias_kind":"pith_short_12","alias_value":"3HBDTB4BE3FG","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3HBDTB4BE3FGWJYC","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3HBDTB4B","created_at":"2026-05-18T12:30:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:3HBDTB4BE3FGWJYCGZLXEXWZ3U","target":"record","payload":{"canonical_record":{"source":{"id":"1702.08640","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-02-28T04:33:00Z","cross_cats_sorted":[],"title_canon_sha256":"eac49adc9a60a847fb547c46c81015b39a0ef01d947c2010273d1788468be594","abstract_canon_sha256":"c0d2b28d02a6deb25fcece74e95387a842907e4525c768d8f49ccb4ab400962f"},"schema_version":"1.0"},"canonical_sha256":"d9c239878126ca6b27023657725ed9dd212b1b6632f4518901175cd0480c5585","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:22.316567Z","signature_b64":"0yam/WbCtkwzsIqfDDMNFvqv+oJGHjyOVIybMChLZHHsY2ZDvIJlpNYJ2D4jvFn7WMqokDXr2/+mxjWzpzUeDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9c239878126ca6b27023657725ed9dd212b1b6632f4518901175cd0480c5585","last_reissued_at":"2026-05-18T00:20:22.316032Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:22.316032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.08640","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:20:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7VeMmwCk2GY86hJjHmKUBO8RyAyxu6zfR0DYse1iwqXdNcMqZkjE82P4JISwjKii5+9/uNm3VCcg9038uOD/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T23:33:41.477577Z"},"content_sha256":"be817fa4676c6ba326d75205c04b87d2f4eb8274e5ceb49e05732bb6f3731718","schema_version":"1.0","event_id":"sha256:be817fa4676c6ba326d75205c04b87d2f4eb8274e5ceb49e05732bb6f3731718"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:3HBDTB4BE3FGWJYCGZLXEXWZ3U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Selective Video Object Cutout","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fatih Porikli, Jianbing Shen, Wenguan Wang","submitted_at":"2017-02-28T04:33:00Z","abstract_excerpt":"Conventional video segmentation approaches rely heavily on appearance models. Such methods often use appearance descriptors that have limited discriminative power under complex scenarios. To improve the segmentation performance, this paper presents a pyramid histogram based confidence map that incorporates structure information into appearance statistics. It also combines geodesic distance based dynamic models. Then, it employs an efficient measure of uncertainty propagation using local classifiers to determine the image regions where the object labels might be ambiguous. The final foreground "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08640","kind":"arxiv","version":5},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:20:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j/Hte/lxFZr1SUWqynvGlPsHjX6EtCQVW0llZIRccxndoQkO9RWZPhIy7ExuaUYMyusd+hbaYYsJUxmrD0hsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T23:33:41.477915Z"},"content_sha256":"45082ed588cb85faf55f626d06cd0be9d33b258fd73d5fbe29fb34b80ed8a771","schema_version":"1.0","event_id":"sha256:45082ed588cb85faf55f626d06cd0be9d33b258fd73d5fbe29fb34b80ed8a771"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3HBDTB4BE3FGWJYCGZLXEXWZ3U/bundle.json","state_url":"https://pith.science/pith/3HBDTB4BE3FGWJYCGZLXEXWZ3U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3HBDTB4BE3FGWJYCGZLXEXWZ3U/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-08T23:33:41Z","links":{"resolver":"https://pith.science/pith/3HBDTB4BE3FGWJYCGZLXEXWZ3U","bundle":"https://pith.science/pith/3HBDTB4BE3FGWJYCGZLXEXWZ3U/bundle.json","state":"https://pith.science/pith/3HBDTB4BE3FGWJYCGZLXEXWZ3U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3HBDTB4BE3FGWJYCGZLXEXWZ3U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3HBDTB4BE3FGWJYCGZLXEXWZ3U","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c0d2b28d02a6deb25fcece74e95387a842907e4525c768d8f49ccb4ab400962f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-02-28T04:33:00Z","title_canon_sha256":"eac49adc9a60a847fb547c46c81015b39a0ef01d947c2010273d1788468be594"},"schema_version":"1.0","source":{"id":"1702.08640","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08640","created_at":"2026-05-18T00:20:22Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08640v5","created_at":"2026-05-18T00:20:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08640","created_at":"2026-05-18T00:20:22Z"},{"alias_kind":"pith_short_12","alias_value":"3HBDTB4BE3FG","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3HBDTB4BE3FGWJYC","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3HBDTB4B","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:45082ed588cb85faf55f626d06cd0be9d33b258fd73d5fbe29fb34b80ed8a771","target":"graph","created_at":"2026-05-18T00:20:22Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Conventional video segmentation approaches rely heavily on appearance models. Such methods often use appearance descriptors that have limited discriminative power under complex scenarios. To improve the segmentation performance, this paper presents a pyramid histogram based confidence map that incorporates structure information into appearance statistics. It also combines geodesic distance based dynamic models. Then, it employs an efficient measure of uncertainty propagation using local classifiers to determine the image regions where the object labels might be ambiguous. The final foreground ","authors_text":"Fatih Porikli, Jianbing Shen, Wenguan Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-02-28T04:33:00Z","title":"Selective Video Object Cutout"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08640","kind":"arxiv","version":5},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:be817fa4676c6ba326d75205c04b87d2f4eb8274e5ceb49e05732bb6f3731718","target":"record","created_at":"2026-05-18T00:20:22Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c0d2b28d02a6deb25fcece74e95387a842907e4525c768d8f49ccb4ab400962f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-02-28T04:33:00Z","title_canon_sha256":"eac49adc9a60a847fb547c46c81015b39a0ef01d947c2010273d1788468be594"},"schema_version":"1.0","source":{"id":"1702.08640","kind":"arxiv","version":5}},"canonical_sha256":"d9c239878126ca6b27023657725ed9dd212b1b6632f4518901175cd0480c5585","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9c239878126ca6b27023657725ed9dd212b1b6632f4518901175cd0480c5585","first_computed_at":"2026-05-18T00:20:22.316032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:22.316032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0yam/WbCtkwzsIqfDDMNFvqv+oJGHjyOVIybMChLZHHsY2ZDvIJlpNYJ2D4jvFn7WMqokDXr2/+mxjWzpzUeDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:22.316567Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.08640","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be817fa4676c6ba326d75205c04b87d2f4eb8274e5ceb49e05732bb6f3731718","sha256:45082ed588cb85faf55f626d06cd0be9d33b258fd73d5fbe29fb34b80ed8a771"],"state_sha256":"e1d543ad4221b2def001ea0c017ec72a0b45c6265a7ec9bfd2b55aa07a3b8359"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZL1d08r0DEKjimTR0q9zCXdfgIh0HohmKjYBTmhUO3i3N5fIKRZjp3m5K/wjJP13VxLZcjwLjcRnI862QRhGBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T23:33:41.479797Z","bundle_sha256":"8a6904d54c0c918cc8f42128e650cb8d6043626d2a5a1e806f5d3a2f1b5f5829"}}