{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:WW2OXYCDFBYJ72VFO4HGGN6HCC","short_pith_number":"pith:WW2OXYCD","schema_version":"1.0","canonical_sha256":"b5b4ebe04328709feaa5770e6337c710a6bb49aa61ce5be6b7284ea002e27b18","source":{"kind":"arxiv","id":"1510.04234","version":9},"attestation_state":"computed","paper":{"title":"All Optical Three Dimensional Spatio-Temporal Correlator for Automatic Event Recognition Using a Multiphoton Atomic System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.atom-ph"],"primary_cat":"physics.optics","authors_text":"Mehjabin S. Monjur, Mohamed F. Fouda, Selim M. Shahriar","submitted_at":"2015-10-13T17:53:19Z","abstract_excerpt":"We describe an automatic event recognition (AER) system based on a three-dimensional spatio-temporal correlator (STC) that combines the techniques of holographic correlation and photon echo based temporal pattern recognition. The STC is shift invariant in space and time. It can be used to recognize rapidly an event (e.g., a short video clip) that may be present in a large video file, and determine the temporal location of the event. Using polar Mellin transform, it is possible to realize an STC that is also scale and rotation invariant spatially. Numerical simulation results of such a system a"},"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":"1510.04234","kind":"arxiv","version":9},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2015-10-13T17:53:19Z","cross_cats_sorted":["physics.atom-ph"],"title_canon_sha256":"274c76f995d70dd4dbcfcdd2570c03fb37e871f04cde2a28a07e9afc1fcaef6d","abstract_canon_sha256":"e1f975aa185491f45e05b10ffca1a2e420f59c2523c2998a160c45e929f9e3c5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:12.922592Z","signature_b64":"OTxMwZos/ycm3lL2z8sQHZmZV7aAtI3swtIHMJYlvlF/ZPsjfBQ+7LjeismyZURxyTveQImjvec+wt8pdIarBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5b4ebe04328709feaa5770e6337c710a6bb49aa61ce5be6b7284ea002e27b18","last_reissued_at":"2026-05-18T01:08:12.922154Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:12.922154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"All Optical Three Dimensional Spatio-Temporal Correlator for Automatic Event Recognition Using a Multiphoton Atomic System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.atom-ph"],"primary_cat":"physics.optics","authors_text":"Mehjabin S. Monjur, Mohamed F. Fouda, Selim M. Shahriar","submitted_at":"2015-10-13T17:53:19Z","abstract_excerpt":"We describe an automatic event recognition (AER) system based on a three-dimensional spatio-temporal correlator (STC) that combines the techniques of holographic correlation and photon echo based temporal pattern recognition. The STC is shift invariant in space and time. It can be used to recognize rapidly an event (e.g., a short video clip) that may be present in a large video file, and determine the temporal location of the event. Using polar Mellin transform, it is possible to realize an STC that is also scale and rotation invariant spatially. Numerical simulation results of such a system a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.04234","kind":"arxiv","version":9},"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":"1510.04234","created_at":"2026-05-18T01:08:12.922222+00:00"},{"alias_kind":"arxiv_version","alias_value":"1510.04234v9","created_at":"2026-05-18T01:08:12.922222+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.04234","created_at":"2026-05-18T01:08:12.922222+00:00"},{"alias_kind":"pith_short_12","alias_value":"WW2OXYCDFBYJ","created_at":"2026-05-18T12:29:47.479230+00:00"},{"alias_kind":"pith_short_16","alias_value":"WW2OXYCDFBYJ72VF","created_at":"2026-05-18T12:29:47.479230+00:00"},{"alias_kind":"pith_short_8","alias_value":"WW2OXYCD","created_at":"2026-05-18T12:29:47.479230+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/WW2OXYCDFBYJ72VFO4HGGN6HCC","json":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC.json","graph_json":"https://pith.science/api/pith-number/WW2OXYCDFBYJ72VFO4HGGN6HCC/graph.json","events_json":"https://pith.science/api/pith-number/WW2OXYCDFBYJ72VFO4HGGN6HCC/events.json","paper":"https://pith.science/paper/WW2OXYCD"},"agent_actions":{"view_html":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC","download_json":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC.json","view_paper":"https://pith.science/paper/WW2OXYCD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1510.04234&json=true","fetch_graph":"https://pith.science/api/pith-number/WW2OXYCDFBYJ72VFO4HGGN6HCC/graph.json","fetch_events":"https://pith.science/api/pith-number/WW2OXYCDFBYJ72VFO4HGGN6HCC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC/action/storage_attestation","attest_author":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC/action/author_attestation","sign_citation":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC/action/citation_signature","submit_replication":"https://pith.science/pith/WW2OXYCDFBYJ72VFO4HGGN6HCC/action/replication_record"}},"created_at":"2026-05-18T01:08:12.922222+00:00","updated_at":"2026-05-18T01:08:12.922222+00:00"}