{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:OVGPQSK2FOMRIIATZXAHLJKRUF","short_pith_number":"pith:OVGPQSK2","schema_version":"1.0","canonical_sha256":"754cf8495a2b99142013cdc075a551a168cca8c3fd1ceca9afc3494b06a7b96f","source":{"kind":"arxiv","id":"1511.03398","version":1},"attestation_state":"computed","paper":{"title":"A GMM-Based Stair Quality Model for Human Perceived JPEG Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.MM","authors_text":"C.-C. Jay Kuo, Haiqiang Wang, Sudeng Hu","submitted_at":"2015-11-11T06:44:31Z","abstract_excerpt":"Based on the notion of just noticeable differences (JND), a stair quality function (SQF) was recently proposed to model human perception on JPEG images. Furthermore, a k-means clustering algorithm was adopted to aggregate JND data collected from multiple subjects to generate a single SQF. In this work, we propose a new method to derive the SQF using the Gaussian Mixture Model (GMM). The newly derived SQF can be interpreted as a way to characterize the mean viewer experience. Furthermore, it has a lower information criterion (BIC) value than the previous one, indicating that it offers a better "},"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":"1511.03398","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2015-11-11T06:44:31Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0e2d513f431c8271e970513946d86c92c0bd703a02207b26061e2cdf4d96ab07","abstract_canon_sha256":"ed0bc0f3f95fe21a12df05c905cb1e2643b31aa37120a2f292d781a2e62bfb77"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:27:14.679395Z","signature_b64":"3Nz8FqnT9i1Ao6659GdShuNyivOX2MZ6aSV9mteXw6zy9wcMcwTSFoYXvhf6yl4kfLqQ1ttlh8RsU+j3Pw2KCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"754cf8495a2b99142013cdc075a551a168cca8c3fd1ceca9afc3494b06a7b96f","last_reissued_at":"2026-05-18T01:27:14.678585Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:27:14.678585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A GMM-Based Stair Quality Model for Human Perceived JPEG Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.MM","authors_text":"C.-C. Jay Kuo, Haiqiang Wang, Sudeng Hu","submitted_at":"2015-11-11T06:44:31Z","abstract_excerpt":"Based on the notion of just noticeable differences (JND), a stair quality function (SQF) was recently proposed to model human perception on JPEG images. Furthermore, a k-means clustering algorithm was adopted to aggregate JND data collected from multiple subjects to generate a single SQF. In this work, we propose a new method to derive the SQF using the Gaussian Mixture Model (GMM). The newly derived SQF can be interpreted as a way to characterize the mean viewer experience. Furthermore, it has a lower information criterion (BIC) value than the previous one, indicating that it offers a better "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.03398","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":"1511.03398","created_at":"2026-05-18T01:27:14.678722+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.03398v1","created_at":"2026-05-18T01:27:14.678722+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.03398","created_at":"2026-05-18T01:27:14.678722+00:00"},{"alias_kind":"pith_short_12","alias_value":"OVGPQSK2FOMR","created_at":"2026-05-18T12:29:34.919912+00:00"},{"alias_kind":"pith_short_16","alias_value":"OVGPQSK2FOMRIIAT","created_at":"2026-05-18T12:29:34.919912+00:00"},{"alias_kind":"pith_short_8","alias_value":"OVGPQSK2","created_at":"2026-05-18T12:29:34.919912+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/OVGPQSK2FOMRIIATZXAHLJKRUF","json":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF.json","graph_json":"https://pith.science/api/pith-number/OVGPQSK2FOMRIIATZXAHLJKRUF/graph.json","events_json":"https://pith.science/api/pith-number/OVGPQSK2FOMRIIATZXAHLJKRUF/events.json","paper":"https://pith.science/paper/OVGPQSK2"},"agent_actions":{"view_html":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF","download_json":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF.json","view_paper":"https://pith.science/paper/OVGPQSK2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.03398&json=true","fetch_graph":"https://pith.science/api/pith-number/OVGPQSK2FOMRIIATZXAHLJKRUF/graph.json","fetch_events":"https://pith.science/api/pith-number/OVGPQSK2FOMRIIATZXAHLJKRUF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF/action/storage_attestation","attest_author":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF/action/author_attestation","sign_citation":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF/action/citation_signature","submit_replication":"https://pith.science/pith/OVGPQSK2FOMRIIATZXAHLJKRUF/action/replication_record"}},"created_at":"2026-05-18T01:27:14.678722+00:00","updated_at":"2026-05-18T01:27:14.678722+00:00"}