{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:YSAJYCUJMLCZJJ2G3SRZSK5ND6","short_pith_number":"pith:YSAJYCUJ","schema_version":"1.0","canonical_sha256":"c4809c0a8962c594a746dca3992bad1fa06a841f894d50ccbfa2d80f546fc98b","source":{"kind":"arxiv","id":"1901.11396","version":1},"attestation_state":"computed","paper":{"title":"Fast and Efficient Lenslet Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antonio Pinheiro, Hadi Amirpour, Manuela Pereira, Mohammad Ghanbari","submitted_at":"2019-01-27T12:14:58Z","abstract_excerpt":"Light field imaging is characterized by capturing brightness, color, and directional information of light rays in a scene. This leads to image representations with huge amount of data that require efficient coding schemes. In this paper, lenslet images are rendered into sub-aperture images. These images are organized as a pseudo-sequence input for the HEVC video codec. To better exploit redundancy among the neighboring sub-aperture images and consequently decrease the distances between a sub-aperture image and its references used for prediction, sub-aperture images are divided into four smalle"},"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":"1901.11396","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-27T12:14:58Z","cross_cats_sorted":[],"title_canon_sha256":"7579fcc944158696e972015ad386799a2863659be644f6685f9069105035e57a","abstract_canon_sha256":"97cdbae38a1291ca54065e2012e4de6495bfe4aef66daab0da228f081b9e6ec6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:01.976776Z","signature_b64":"9vtLl/U1Wk1PfiDIRrMDfrjDb6UEdATMZlArG2fUFc8wms4wqsp0QOW1++DWSnHK3isXTyFzuSSkyrFDtnaPDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4809c0a8962c594a746dca3992bad1fa06a841f894d50ccbfa2d80f546fc98b","last_reissued_at":"2026-05-17T23:55:01.976149Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:01.976149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast and Efficient Lenslet Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antonio Pinheiro, Hadi Amirpour, Manuela Pereira, Mohammad Ghanbari","submitted_at":"2019-01-27T12:14:58Z","abstract_excerpt":"Light field imaging is characterized by capturing brightness, color, and directional information of light rays in a scene. This leads to image representations with huge amount of data that require efficient coding schemes. In this paper, lenslet images are rendered into sub-aperture images. These images are organized as a pseudo-sequence input for the HEVC video codec. To better exploit redundancy among the neighboring sub-aperture images and consequently decrease the distances between a sub-aperture image and its references used for prediction, sub-aperture images are divided into four smalle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.11396","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1901.11396","created_at":"2026-05-17T23:55:01.976246+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.11396v1","created_at":"2026-05-17T23:55:01.976246+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.11396","created_at":"2026-05-17T23:55:01.976246+00:00"},{"alias_kind":"pith_short_12","alias_value":"YSAJYCUJMLCZ","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_16","alias_value":"YSAJYCUJMLCZJJ2G","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_8","alias_value":"YSAJYCUJ","created_at":"2026-05-18T12:33:33.725879+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/YSAJYCUJMLCZJJ2G3SRZSK5ND6","json":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6.json","graph_json":"https://pith.science/api/pith-number/YSAJYCUJMLCZJJ2G3SRZSK5ND6/graph.json","events_json":"https://pith.science/api/pith-number/YSAJYCUJMLCZJJ2G3SRZSK5ND6/events.json","paper":"https://pith.science/paper/YSAJYCUJ"},"agent_actions":{"view_html":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6","download_json":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6.json","view_paper":"https://pith.science/paper/YSAJYCUJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.11396&json=true","fetch_graph":"https://pith.science/api/pith-number/YSAJYCUJMLCZJJ2G3SRZSK5ND6/graph.json","fetch_events":"https://pith.science/api/pith-number/YSAJYCUJMLCZJJ2G3SRZSK5ND6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6/action/storage_attestation","attest_author":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6/action/author_attestation","sign_citation":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6/action/citation_signature","submit_replication":"https://pith.science/pith/YSAJYCUJMLCZJJ2G3SRZSK5ND6/action/replication_record"}},"created_at":"2026-05-17T23:55:01.976246+00:00","updated_at":"2026-05-17T23:55:01.976246+00:00"}