{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QQT63QEOXGU5PYOOAAQGECNJ6X","short_pith_number":"pith:QQT63QEO","canonical_record":{"source":{"id":"1704.00077","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-31T22:39:32Z","cross_cats_sorted":[],"title_canon_sha256":"39499094c49bb785b7f86c03214f672ce3ea5b6598355431e9c9a9283060ea55","abstract_canon_sha256":"e62e807f7855a3666cdb818070ee01030eebdc2e0466c52abe014fab86ac27b6"},"schema_version":"1.0"},"canonical_sha256":"8427edc08eb9a9d7e1ce00206209a9f5c889f5d62314805ea32f81ae3a52db06","source":{"kind":"arxiv","id":"1704.00077","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.00077","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"arxiv_version","alias_value":"1704.00077v1","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.00077","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"pith_short_12","alias_value":"QQT63QEOXGU5","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QQT63QEOXGU5PYOO","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QQT63QEO","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QQT63QEOXGU5PYOOAAQGECNJ6X","target":"record","payload":{"canonical_record":{"source":{"id":"1704.00077","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-31T22:39:32Z","cross_cats_sorted":[],"title_canon_sha256":"39499094c49bb785b7f86c03214f672ce3ea5b6598355431e9c9a9283060ea55","abstract_canon_sha256":"e62e807f7855a3666cdb818070ee01030eebdc2e0466c52abe014fab86ac27b6"},"schema_version":"1.0"},"canonical_sha256":"8427edc08eb9a9d7e1ce00206209a9f5c889f5d62314805ea32f81ae3a52db06","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:25.488191Z","signature_b64":"F0fRLlxJEw5fmpn9WfSEoTcIJjawrC0xNVwYGDR0Op6/85PArIT5NJaXgPpuvskq0u9wdxeae7jrHTWzJBP9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8427edc08eb9a9d7e1ce00206209a9f5c889f5d62314805ea32f81ae3a52db06","last_reissued_at":"2026-05-18T00:47:25.487559Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:25.487559Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.00077","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:47:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t3vfWFNKRqLHr5Bt79RGuc5XB46fAKx6NgnPXQR4xhh3rM113RoOhLGgtAbxC88qyyv1EaD3swYFhXS6fk/lCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T02:37:33.107565Z"},"content_sha256":"5e97f1dafab9bc5e9644df78e5b352ddb09ebc4b5250a06f5909d39ec694cb6d","schema_version":"1.0","event_id":"sha256:5e97f1dafab9bc5e9644df78e5b352ddb09ebc4b5250a06f5909d39ec694cb6d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QQT63QEOXGU5PYOOAAQGECNJ6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Geodesic Distance Histogram Feature for Video Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chen-Ping Yu, Dimitris Samaras, Hieu Le, Vu Nguyen","submitted_at":"2017-03-31T22:39:32Z","abstract_excerpt":"This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms. The feature is a joint histogram of intensity and geodesic distances, where the geodesic distances are computed as the shortest paths between superpixels via their boundaries. We also incorporate adaptive voting weights and spatial pyramid configurations to include spatial information into the geodesic histogram feature and show that this further improves results. The feature is generic and can be used as part of various algorithms. In experiments, we test the geode"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.00077","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:47:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VVdFqtGYXhVS/1eNdeiaghuuNxFLA1zI7DM3RTUbfGKTT2DMGn8VF+VrKnTKdy756Et18qMhtur3ucUUDF3EDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T02:37:33.107923Z"},"content_sha256":"1e4027009e65de83c09f1d19b7ed4055e977d4da8c82b1bbab5333a0ffc8b183","schema_version":"1.0","event_id":"sha256:1e4027009e65de83c09f1d19b7ed4055e977d4da8c82b1bbab5333a0ffc8b183"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QQT63QEOXGU5PYOOAAQGECNJ6X/bundle.json","state_url":"https://pith.science/pith/QQT63QEOXGU5PYOOAAQGECNJ6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QQT63QEOXGU5PYOOAAQGECNJ6X/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":"2026-06-04T02:37:33Z","links":{"resolver":"https://pith.science/pith/QQT63QEOXGU5PYOOAAQGECNJ6X","bundle":"https://pith.science/pith/QQT63QEOXGU5PYOOAAQGECNJ6X/bundle.json","state":"https://pith.science/pith/QQT63QEOXGU5PYOOAAQGECNJ6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QQT63QEOXGU5PYOOAAQGECNJ6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QQT63QEOXGU5PYOOAAQGECNJ6X","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":"e62e807f7855a3666cdb818070ee01030eebdc2e0466c52abe014fab86ac27b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-31T22:39:32Z","title_canon_sha256":"39499094c49bb785b7f86c03214f672ce3ea5b6598355431e9c9a9283060ea55"},"schema_version":"1.0","source":{"id":"1704.00077","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.00077","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"arxiv_version","alias_value":"1704.00077v1","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.00077","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"pith_short_12","alias_value":"QQT63QEOXGU5","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QQT63QEOXGU5PYOO","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QQT63QEO","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:1e4027009e65de83c09f1d19b7ed4055e977d4da8c82b1bbab5333a0ffc8b183","target":"graph","created_at":"2026-05-18T00:47:25Z","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":"This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms. The feature is a joint histogram of intensity and geodesic distances, where the geodesic distances are computed as the shortest paths between superpixels via their boundaries. We also incorporate adaptive voting weights and spatial pyramid configurations to include spatial information into the geodesic histogram feature and show that this further improves results. The feature is generic and can be used as part of various algorithms. In experiments, we test the geode","authors_text":"Chen-Ping Yu, Dimitris Samaras, Hieu Le, Vu Nguyen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-31T22:39:32Z","title":"Geodesic Distance Histogram Feature for Video Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.00077","kind":"arxiv","version":1},"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":"sha256:5e97f1dafab9bc5e9644df78e5b352ddb09ebc4b5250a06f5909d39ec694cb6d","target":"record","created_at":"2026-05-18T00:47:25Z","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":"e62e807f7855a3666cdb818070ee01030eebdc2e0466c52abe014fab86ac27b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-31T22:39:32Z","title_canon_sha256":"39499094c49bb785b7f86c03214f672ce3ea5b6598355431e9c9a9283060ea55"},"schema_version":"1.0","source":{"id":"1704.00077","kind":"arxiv","version":1}},"canonical_sha256":"8427edc08eb9a9d7e1ce00206209a9f5c889f5d62314805ea32f81ae3a52db06","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8427edc08eb9a9d7e1ce00206209a9f5c889f5d62314805ea32f81ae3a52db06","first_computed_at":"2026-05-18T00:47:25.487559Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:25.487559Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F0fRLlxJEw5fmpn9WfSEoTcIJjawrC0xNVwYGDR0Op6/85PArIT5NJaXgPpuvskq0u9wdxeae7jrHTWzJBP9Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:25.488191Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.00077","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e97f1dafab9bc5e9644df78e5b352ddb09ebc4b5250a06f5909d39ec694cb6d","sha256:1e4027009e65de83c09f1d19b7ed4055e977d4da8c82b1bbab5333a0ffc8b183"],"state_sha256":"4dc1e5eaa79383634cb0553224bed0edee4285aeee312da9182920c3d05171b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PErpGKksh52f2ythlN2EQrVEWnZoPdv9EBRS4fdmCj12+NiHVoPRE7q3oH6QRde++SEZJONn0VUg/a+4UD4ACA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T02:37:33.110063Z","bundle_sha256":"5cc24d05d2712e748a5fec8e217a8efda78e37bead64b19fd9f703159de00430"}}