{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:CIZ33KDHWF2WPKIVETLBUR3SOF","short_pith_number":"pith:CIZ33KDH","canonical_record":{"source":{"id":"1605.03718","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-12T08:14:00Z","cross_cats_sorted":[],"title_canon_sha256":"01794cff35ae4276c5cfc110f23cec673461975eaa6a08473e00732e036cb88f","abstract_canon_sha256":"2375f8e7ccb340aae6695c691beeac27938b505728ae17e3af2d38e6efc9e0ca"},"schema_version":"1.0"},"canonical_sha256":"1233bda867b17567a91524d61a47727141ccaf67a88479fd26ac8dd43ee11cd3","source":{"kind":"arxiv","id":"1605.03718","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.03718","created_at":"2026-05-18T00:57:04Z"},{"alias_kind":"arxiv_version","alias_value":"1605.03718v2","created_at":"2026-05-18T00:57:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.03718","created_at":"2026-05-18T00:57:04Z"},{"alias_kind":"pith_short_12","alias_value":"CIZ33KDHWF2W","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_16","alias_value":"CIZ33KDHWF2WPKIV","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_8","alias_value":"CIZ33KDH","created_at":"2026-05-18T12:30:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:CIZ33KDHWF2WPKIVETLBUR3SOF","target":"record","payload":{"canonical_record":{"source":{"id":"1605.03718","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-12T08:14:00Z","cross_cats_sorted":[],"title_canon_sha256":"01794cff35ae4276c5cfc110f23cec673461975eaa6a08473e00732e036cb88f","abstract_canon_sha256":"2375f8e7ccb340aae6695c691beeac27938b505728ae17e3af2d38e6efc9e0ca"},"schema_version":"1.0"},"canonical_sha256":"1233bda867b17567a91524d61a47727141ccaf67a88479fd26ac8dd43ee11cd3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:57:04.491706Z","signature_b64":"o6hsB49FBS6b6xn+wSbT4KTEWBcXboXoVorbAR9hTQsBiiVuRBhqeJR37dVDRLIWLUwpP0xsGZjDLtaXbgzHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1233bda867b17567a91524d61a47727141ccaf67a88479fd26ac8dd43ee11cd3","last_reissued_at":"2026-05-18T00:57:04.491093Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:57:04.491093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.03718","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:57:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZeTB4sDr8/VCX2MhkFJIJxjFWzdZlUw1WLN6SPrSp6cxuzyJmPzKGtYZKxO9V37zO9ODDr5Ejk9IpQR8LM5eDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:24:26.105173Z"},"content_sha256":"0090082219c0153838bb26b48f085192a7bd4272c5fffed7f1208d7ce09e6692","schema_version":"1.0","event_id":"sha256:0090082219c0153838bb26b48f085192a7bd4272c5fffed7f1208d7ce09e6692"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:CIZ33KDHWF2WPKIVETLBUR3SOF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improved Image Boundaries for Better Video Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anna Khoreva, Bernt Schiele, Fabio Galasso, Matthias Hein, Rodrigo Benenson","submitted_at":"2016-05-12T08:14:00Z","abstract_excerpt":"Graph-based video segmentation methods rely on superpixels as starting point. While most previous work has focused on the construction of the graph edges and weights as well as solving the graph partitioning problem, this paper focuses on better superpixels for video segmentation. We demonstrate by a comparative analysis that superpixels extracted from boundaries perform best, and show that boundary estimation can be significantly improved via image and time domain cues. With superpixels generated from our better boundaries we observe consistent improvement for two video segmentation methods i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.03718","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:57:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vg3WRydVZQ7P2FiQu+a5qeQf/X9vQLmXMMF0HcSuH+UsCwpr+hD5K0qNDULdYYJisNEp1hPts50TOgmQWmPjDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:24:26.105537Z"},"content_sha256":"1e1fcebdcbaaa35de88b3d0a5d1e40a089e254a71556f7ad0feba324981c0e18","schema_version":"1.0","event_id":"sha256:1e1fcebdcbaaa35de88b3d0a5d1e40a089e254a71556f7ad0feba324981c0e18"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CIZ33KDHWF2WPKIVETLBUR3SOF/bundle.json","state_url":"https://pith.science/pith/CIZ33KDHWF2WPKIVETLBUR3SOF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CIZ33KDHWF2WPKIVETLBUR3SOF/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":"2026-06-01T09:24:26Z","links":{"resolver":"https://pith.science/pith/CIZ33KDHWF2WPKIVETLBUR3SOF","bundle":"https://pith.science/pith/CIZ33KDHWF2WPKIVETLBUR3SOF/bundle.json","state":"https://pith.science/pith/CIZ33KDHWF2WPKIVETLBUR3SOF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CIZ33KDHWF2WPKIVETLBUR3SOF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:CIZ33KDHWF2WPKIVETLBUR3SOF","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":"2375f8e7ccb340aae6695c691beeac27938b505728ae17e3af2d38e6efc9e0ca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-12T08:14:00Z","title_canon_sha256":"01794cff35ae4276c5cfc110f23cec673461975eaa6a08473e00732e036cb88f"},"schema_version":"1.0","source":{"id":"1605.03718","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.03718","created_at":"2026-05-18T00:57:04Z"},{"alias_kind":"arxiv_version","alias_value":"1605.03718v2","created_at":"2026-05-18T00:57:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.03718","created_at":"2026-05-18T00:57:04Z"},{"alias_kind":"pith_short_12","alias_value":"CIZ33KDHWF2W","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_16","alias_value":"CIZ33KDHWF2WPKIV","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_8","alias_value":"CIZ33KDH","created_at":"2026-05-18T12:30:09Z"}],"graph_snapshots":[{"event_id":"sha256:1e1fcebdcbaaa35de88b3d0a5d1e40a089e254a71556f7ad0feba324981c0e18","target":"graph","created_at":"2026-05-18T00:57:04Z","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":"Graph-based video segmentation methods rely on superpixels as starting point. While most previous work has focused on the construction of the graph edges and weights as well as solving the graph partitioning problem, this paper focuses on better superpixels for video segmentation. We demonstrate by a comparative analysis that superpixels extracted from boundaries perform best, and show that boundary estimation can be significantly improved via image and time domain cues. With superpixels generated from our better boundaries we observe consistent improvement for two video segmentation methods i","authors_text":"Anna Khoreva, Bernt Schiele, Fabio Galasso, Matthias Hein, Rodrigo Benenson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-12T08:14:00Z","title":"Improved Image Boundaries for Better Video Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.03718","kind":"arxiv","version":2},"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":"sha256:0090082219c0153838bb26b48f085192a7bd4272c5fffed7f1208d7ce09e6692","target":"record","created_at":"2026-05-18T00:57:04Z","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":"2375f8e7ccb340aae6695c691beeac27938b505728ae17e3af2d38e6efc9e0ca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-12T08:14:00Z","title_canon_sha256":"01794cff35ae4276c5cfc110f23cec673461975eaa6a08473e00732e036cb88f"},"schema_version":"1.0","source":{"id":"1605.03718","kind":"arxiv","version":2}},"canonical_sha256":"1233bda867b17567a91524d61a47727141ccaf67a88479fd26ac8dd43ee11cd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1233bda867b17567a91524d61a47727141ccaf67a88479fd26ac8dd43ee11cd3","first_computed_at":"2026-05-18T00:57:04.491093Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:57:04.491093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o6hsB49FBS6b6xn+wSbT4KTEWBcXboXoVorbAR9hTQsBiiVuRBhqeJR37dVDRLIWLUwpP0xsGZjDLtaXbgzHCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:57:04.491706Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.03718","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0090082219c0153838bb26b48f085192a7bd4272c5fffed7f1208d7ce09e6692","sha256:1e1fcebdcbaaa35de88b3d0a5d1e40a089e254a71556f7ad0feba324981c0e18"],"state_sha256":"536f42779b8cf1a2f44bbe1443f72c063d75c39f2d9ffaa9e29f92d3e96ba19f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G7IWiXTLfkbOJGp4Yu4PJ/qPOsE6BSiBkHeZcf0duQ1at+4ffEMjwSNYF2DwaNf3K63ttJFRsUbjcU92KxZ2Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T09:24:26.107516Z","bundle_sha256":"3ef4948028ad615ba02ef8b9b1a871a697d8f3fce6cca87e50784e7e8c8cb6e1"}}