{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:GJ7WE5GOIPZUB4ETVETTW2Y2YX","short_pith_number":"pith:GJ7WE5GO","canonical_record":{"source":{"id":"1402.1331","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-02-06T11:58:42Z","cross_cats_sorted":[],"title_canon_sha256":"453097193ddc548c4e28ace7769d0feff2d2ecd8e7fcb6f8ac15029d66434398","abstract_canon_sha256":"f19c5d562b768190395d34ca654d170beb31d072305da8e15630f0c7ec1614f4"},"schema_version":"1.0"},"canonical_sha256":"327f6274ce43f340f093a9273b6b1ac5c590ed2df94d38a0a55a27f65e822aba","source":{"kind":"arxiv","id":"1402.1331","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.1331","created_at":"2026-05-18T02:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"1402.1331v1","created_at":"2026-05-18T02:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.1331","created_at":"2026-05-18T02:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"GJ7WE5GOIPZU","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_16","alias_value":"GJ7WE5GOIPZUB4ET","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_8","alias_value":"GJ7WE5GO","created_at":"2026-05-18T12:28:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:GJ7WE5GOIPZUB4ETVETTW2Y2YX","target":"record","payload":{"canonical_record":{"source":{"id":"1402.1331","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-02-06T11:58:42Z","cross_cats_sorted":[],"title_canon_sha256":"453097193ddc548c4e28ace7769d0feff2d2ecd8e7fcb6f8ac15029d66434398","abstract_canon_sha256":"f19c5d562b768190395d34ca654d170beb31d072305da8e15630f0c7ec1614f4"},"schema_version":"1.0"},"canonical_sha256":"327f6274ce43f340f093a9273b6b1ac5c590ed2df94d38a0a55a27f65e822aba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:59:59.393304Z","signature_b64":"rhHRWOyDJEmZuPBD8jWfWRkBWYfnskVv0uQnO6o5wGiQT3kZ9ME/3dt4yE755XahD/tRpD0Of9FaSZCPEnYHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"327f6274ce43f340f093a9273b6b1ac5c590ed2df94d38a0a55a27f65e822aba","last_reissued_at":"2026-05-18T02:59:59.392620Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:59:59.392620Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1402.1331","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":"2026-05-18T02:59:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6DBfZPDUQR1RhQ0R+jEoEJo+25xoMwqsGFfX6GTxF4qYBC+SzeOV/ZjltcNh892kpZpZ5ZQsn3RLgU3bpiMjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T07:34:06.328685Z"},"content_sha256":"1a8d84156a8ed34393b19a89befb978828ed3830a6978589f4f5819be7ac525f","schema_version":"1.0","event_id":"sha256:1a8d84156a8ed34393b19a89befb978828ed3830a6978589f4f5819be7ac525f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:GJ7WE5GOIPZUB4ETVETTW2Y2YX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Estimation Method of Measuring Image Quality for Compressed Images of Human Face","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhishek Bhattacharya, Tanusree Chatterjee","submitted_at":"2014-02-06T11:58:42Z","abstract_excerpt":"Nowadays digital image compression and decompression techniques are very much important. So our aim is to calculate the quality of face and other regions of the compressed image with respect to the original image. Image segmentation is typically used to locate objects and boundaries (lines, curves etc.)in images. After segmentation the image is changed into something which is more meaningful to analyze. Using Universal Image Quality Index(Q),Structural Similarity Index(SSIM) and Gradient-based Structural Similarity Index(G-SSIM) it can be shown that face region is less compressed than any othe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.1331","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":"2026-05-18T02:59:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5stIha0zWYIlnJ0jGkYyl9aINNw5iM+V9fs7NU/bf0YB34HNqJ2UIE5K9Js7UToa4LQeKUKlNajwL3qciNGaBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T07:34:06.329017Z"},"content_sha256":"336c818a664692624acf0cbd4c3f492afeba1e1f6bcfcab3c8bd326bc8b2eec5","schema_version":"1.0","event_id":"sha256:336c818a664692624acf0cbd4c3f492afeba1e1f6bcfcab3c8bd326bc8b2eec5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GJ7WE5GOIPZUB4ETVETTW2Y2YX/bundle.json","state_url":"https://pith.science/pith/GJ7WE5GOIPZUB4ETVETTW2Y2YX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GJ7WE5GOIPZUB4ETVETTW2Y2YX/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":"2026-06-02T07:34:06Z","links":{"resolver":"https://pith.science/pith/GJ7WE5GOIPZUB4ETVETTW2Y2YX","bundle":"https://pith.science/pith/GJ7WE5GOIPZUB4ETVETTW2Y2YX/bundle.json","state":"https://pith.science/pith/GJ7WE5GOIPZUB4ETVETTW2Y2YX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GJ7WE5GOIPZUB4ETVETTW2Y2YX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:GJ7WE5GOIPZUB4ETVETTW2Y2YX","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":"f19c5d562b768190395d34ca654d170beb31d072305da8e15630f0c7ec1614f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-02-06T11:58:42Z","title_canon_sha256":"453097193ddc548c4e28ace7769d0feff2d2ecd8e7fcb6f8ac15029d66434398"},"schema_version":"1.0","source":{"id":"1402.1331","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.1331","created_at":"2026-05-18T02:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"1402.1331v1","created_at":"2026-05-18T02:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.1331","created_at":"2026-05-18T02:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"GJ7WE5GOIPZU","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_16","alias_value":"GJ7WE5GOIPZUB4ET","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_8","alias_value":"GJ7WE5GO","created_at":"2026-05-18T12:28:30Z"}],"graph_snapshots":[{"event_id":"sha256:336c818a664692624acf0cbd4c3f492afeba1e1f6bcfcab3c8bd326bc8b2eec5","target":"graph","created_at":"2026-05-18T02:59:59Z","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":"Nowadays digital image compression and decompression techniques are very much important. So our aim is to calculate the quality of face and other regions of the compressed image with respect to the original image. Image segmentation is typically used to locate objects and boundaries (lines, curves etc.)in images. After segmentation the image is changed into something which is more meaningful to analyze. Using Universal Image Quality Index(Q),Structural Similarity Index(SSIM) and Gradient-based Structural Similarity Index(G-SSIM) it can be shown that face region is less compressed than any othe","authors_text":"Abhishek Bhattacharya, Tanusree Chatterjee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-02-06T11:58:42Z","title":"An Estimation Method of Measuring Image Quality for Compressed Images of Human Face"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.1331","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":"sha256:1a8d84156a8ed34393b19a89befb978828ed3830a6978589f4f5819be7ac525f","target":"record","created_at":"2026-05-18T02:59:59Z","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":"f19c5d562b768190395d34ca654d170beb31d072305da8e15630f0c7ec1614f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-02-06T11:58:42Z","title_canon_sha256":"453097193ddc548c4e28ace7769d0feff2d2ecd8e7fcb6f8ac15029d66434398"},"schema_version":"1.0","source":{"id":"1402.1331","kind":"arxiv","version":1}},"canonical_sha256":"327f6274ce43f340f093a9273b6b1ac5c590ed2df94d38a0a55a27f65e822aba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"327f6274ce43f340f093a9273b6b1ac5c590ed2df94d38a0a55a27f65e822aba","first_computed_at":"2026-05-18T02:59:59.392620Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:59:59.392620Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rhHRWOyDJEmZuPBD8jWfWRkBWYfnskVv0uQnO6o5wGiQT3kZ9ME/3dt4yE755XahD/tRpD0Of9FaSZCPEnYHCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:59:59.393304Z","signed_message":"canonical_sha256_bytes"},"source_id":"1402.1331","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a8d84156a8ed34393b19a89befb978828ed3830a6978589f4f5819be7ac525f","sha256:336c818a664692624acf0cbd4c3f492afeba1e1f6bcfcab3c8bd326bc8b2eec5"],"state_sha256":"d3f8890655bc319f85d84266c113ccee59a46ed140349a1db4946977a6603f53"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r4LYNdifUqynk5ZGAugzmeG6oZg5jxVm1qOLmAISXxdqTNzONiyWbB7o2kUHi2yEvdgbGS2N9hX+xUBcz1t/Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T07:34:06.330910Z","bundle_sha256":"514942f4e82666f2402462ef5d529565031276e36450bfe138038436977fa167"}}