{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JV43TWUN6U4PF5Q2QFI5WAKIZV","short_pith_number":"pith:JV43TWUN","canonical_record":{"source":{"id":"1701.03572","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-13T06:51:57Z","cross_cats_sorted":[],"title_canon_sha256":"a51129a312411f0d1dea94e38dc2e64b1c7d7bcb947e552d4dd4cc149310f1f4","abstract_canon_sha256":"ef4c81f727f259e3c615a3038888ed59794b953e47d980aef2f8e359d2b64243"},"schema_version":"1.0"},"canonical_sha256":"4d79b9da8df538f2f61a8151db0148cd63e697a33b353da64fe4332f8eccbd90","source":{"kind":"arxiv","id":"1701.03572","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.03572","created_at":"2026-05-18T00:52:54Z"},{"alias_kind":"arxiv_version","alias_value":"1701.03572v1","created_at":"2026-05-18T00:52:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.03572","created_at":"2026-05-18T00:52:54Z"},{"alias_kind":"pith_short_12","alias_value":"JV43TWUN6U4P","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JV43TWUN6U4PF5Q2","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JV43TWUN","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JV43TWUN6U4PF5Q2QFI5WAKIZV","target":"record","payload":{"canonical_record":{"source":{"id":"1701.03572","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-13T06:51:57Z","cross_cats_sorted":[],"title_canon_sha256":"a51129a312411f0d1dea94e38dc2e64b1c7d7bcb947e552d4dd4cc149310f1f4","abstract_canon_sha256":"ef4c81f727f259e3c615a3038888ed59794b953e47d980aef2f8e359d2b64243"},"schema_version":"1.0"},"canonical_sha256":"4d79b9da8df538f2f61a8151db0148cd63e697a33b353da64fe4332f8eccbd90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:52:54.469398Z","signature_b64":"QFQ3P0n4qyMGDgRftmVBWOeAJWERjrVOfzJd7L8dkaeIEM1TLFvQBKJn1yTzV2ULAkauB+NS5xzRWNxPfGBWAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d79b9da8df538f2f61a8151db0148cd63e697a33b353da64fe4332f8eccbd90","last_reissued_at":"2026-05-18T00:52:54.468873Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:52:54.468873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.03572","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":"2026-05-18T00:52:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RSCkhynldRdasUwe9LoYEsb0I12bytOHUgu8Ci3tlCcFUFBLRNRb6VNWGe0AJC/FBCem8VJZ5QTV4nDFjNgQBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T15:24:03.934692Z"},"content_sha256":"fbca79244ba34ee18066f770622a52f00dfbe7072fd6db98396fa11647fa9b7f","schema_version":"1.0","event_id":"sha256:fbca79244ba34ee18066f770622a52f00dfbe7072fd6db98396fa11647fa9b7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JV43TWUN6U4PF5Q2QFI5WAKIZV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anli Lim, Bharath Ramesh, Cheng Xiang, Feng Lin, Yue Yang, Zhi Gao","submitted_at":"2017-01-13T06:51:57Z","abstract_excerpt":"This paper describes the development of a novel algorithm to tackle the problem of real-time video stabilization for unmanned aerial vehicles (UAVs). There are two main components in the algorithm: (1) By designing a suitable model for the global motion of UAV, the proposed algorithm avoids the necessity of estimating the most general motion model, projective transformation, and considers simpler motion models, such as rigid transformation and similarity transformation. (2) To achieve a high processing speed, optical-flow based tracking is employed in lieu of conventional tracking and matching"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.03572","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":"2026-05-18T00:52:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RLWuMfDdUnbq11wmCu8GBDIQMTWY6wSvymRHSFQI7V2ueJWHo6pOrBQP6TaGIlGSGQUM9lJ/g7IRwCJbV3aTBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T15:24:03.935039Z"},"content_sha256":"adf699a844fa0b2d79319a45f98f8f8c69d7d6989765ee1e6e0bbd02a7f8f733","schema_version":"1.0","event_id":"sha256:adf699a844fa0b2d79319a45f98f8f8c69d7d6989765ee1e6e0bbd02a7f8f733"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JV43TWUN6U4PF5Q2QFI5WAKIZV/bundle.json","state_url":"https://pith.science/pith/JV43TWUN6U4PF5Q2QFI5WAKIZV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JV43TWUN6U4PF5Q2QFI5WAKIZV/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":"2026-06-26T15:24:03Z","links":{"resolver":"https://pith.science/pith/JV43TWUN6U4PF5Q2QFI5WAKIZV","bundle":"https://pith.science/pith/JV43TWUN6U4PF5Q2QFI5WAKIZV/bundle.json","state":"https://pith.science/pith/JV43TWUN6U4PF5Q2QFI5WAKIZV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JV43TWUN6U4PF5Q2QFI5WAKIZV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JV43TWUN6U4PF5Q2QFI5WAKIZV","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":"ef4c81f727f259e3c615a3038888ed59794b953e47d980aef2f8e359d2b64243","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-13T06:51:57Z","title_canon_sha256":"a51129a312411f0d1dea94e38dc2e64b1c7d7bcb947e552d4dd4cc149310f1f4"},"schema_version":"1.0","source":{"id":"1701.03572","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.03572","created_at":"2026-05-18T00:52:54Z"},{"alias_kind":"arxiv_version","alias_value":"1701.03572v1","created_at":"2026-05-18T00:52:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.03572","created_at":"2026-05-18T00:52:54Z"},{"alias_kind":"pith_short_12","alias_value":"JV43TWUN6U4P","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JV43TWUN6U4PF5Q2","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JV43TWUN","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:adf699a844fa0b2d79319a45f98f8f8c69d7d6989765ee1e6e0bbd02a7f8f733","target":"graph","created_at":"2026-05-18T00:52:54Z","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 describes the development of a novel algorithm to tackle the problem of real-time video stabilization for unmanned aerial vehicles (UAVs). There are two main components in the algorithm: (1) By designing a suitable model for the global motion of UAV, the proposed algorithm avoids the necessity of estimating the most general motion model, projective transformation, and considers simpler motion models, such as rigid transformation and similarity transformation. (2) To achieve a high processing speed, optical-flow based tracking is employed in lieu of conventional tracking and matching","authors_text":"Anli Lim, Bharath Ramesh, Cheng Xiang, Feng Lin, Yue Yang, Zhi Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-13T06:51:57Z","title":"Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.03572","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:fbca79244ba34ee18066f770622a52f00dfbe7072fd6db98396fa11647fa9b7f","target":"record","created_at":"2026-05-18T00:52:54Z","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":"ef4c81f727f259e3c615a3038888ed59794b953e47d980aef2f8e359d2b64243","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-13T06:51:57Z","title_canon_sha256":"a51129a312411f0d1dea94e38dc2e64b1c7d7bcb947e552d4dd4cc149310f1f4"},"schema_version":"1.0","source":{"id":"1701.03572","kind":"arxiv","version":1}},"canonical_sha256":"4d79b9da8df538f2f61a8151db0148cd63e697a33b353da64fe4332f8eccbd90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d79b9da8df538f2f61a8151db0148cd63e697a33b353da64fe4332f8eccbd90","first_computed_at":"2026-05-18T00:52:54.468873Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:52:54.468873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QFQ3P0n4qyMGDgRftmVBWOeAJWERjrVOfzJd7L8dkaeIEM1TLFvQBKJn1yTzV2ULAkauB+NS5xzRWNxPfGBWAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:52:54.469398Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.03572","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fbca79244ba34ee18066f770622a52f00dfbe7072fd6db98396fa11647fa9b7f","sha256:adf699a844fa0b2d79319a45f98f8f8c69d7d6989765ee1e6e0bbd02a7f8f733"],"state_sha256":"2ce4c60eaeaac81e831319b80451e2ab338d7033a3bf8fa0570962bb72caee29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9ZVwr2Ziw/BV5Vq1nW4kLz53iSauUh4X0T7TGjYc3t0tP39DAnwzy3BPi4R3nFbCP2v0Q6kukFc/xXJ4QzaEAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T15:24:03.936964Z","bundle_sha256":"39414db3072de292accc5fb7f73e86e4fe05f3304404c05ddab900cf66f8b807"}}