{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:2DAQ7JJBIK5ONDDAHXQQARQZ7S","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":"a894650583ec6cc674c5141ffacd2fe4f43051100e99adb5a582fdd465e46920","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-17T19:12:50Z","title_canon_sha256":"2a0160e30aa05e028e584bc8c68aa6250b132c0f1e6c25fd6081083a06023206"},"schema_version":"1.0","source":{"id":"1602.05531","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.05531","created_at":"2026-05-18T00:04:24Z"},{"alias_kind":"arxiv_version","alias_value":"1602.05531v5","created_at":"2026-05-18T00:04:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.05531","created_at":"2026-05-18T00:04:24Z"},{"alias_kind":"pith_short_12","alias_value":"2DAQ7JJBIK5O","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2DAQ7JJBIK5ONDDA","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2DAQ7JJB","created_at":"2026-05-18T12:29:55Z"}],"graph_snapshots":[{"event_id":"sha256:caf53e42ea98f9ef2d35805bafed7fcc7209ec69146044c19e0aae3fa43bad56","target":"graph","created_at":"2026-05-18T00:04:24Z","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":"In this work we investigate the use of deep learning for distortion-generic blind image quality assessment. We report on different design choices, ranging from the use of features extracted from pre-trained Convolutional Neural Networks (CNNs) as a generic image description, to the use of features extracted from a CNN fine-tuned for the image quality task. Our best proposal, named DeepBIQ, estimates the image quality by average pooling the scores predicted on multiple sub-regions of the original image. The score of each sub-region is computed using a Support Vector Regression (SVR) machine tak","authors_text":"Luigi Celona, Paolo Napoletano, Raimondo Schettini, Simone Bianco","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-17T19:12:50Z","title":"On the Use of Deep Learning for Blind Image Quality Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.05531","kind":"arxiv","version":5},"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":"sha256:87625f07fdd4feb3111e8ecf1847637267c2ccba52ecafdb24e55ab2481e8fe1","target":"record","created_at":"2026-05-18T00:04:24Z","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":"a894650583ec6cc674c5141ffacd2fe4f43051100e99adb5a582fdd465e46920","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-17T19:12:50Z","title_canon_sha256":"2a0160e30aa05e028e584bc8c68aa6250b132c0f1e6c25fd6081083a06023206"},"schema_version":"1.0","source":{"id":"1602.05531","kind":"arxiv","version":5}},"canonical_sha256":"d0c10fa52142bae68c603de1004619fca679f82f3aaa5934dba0ed567b52fd6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0c10fa52142bae68c603de1004619fca679f82f3aaa5934dba0ed567b52fd6f","first_computed_at":"2026-05-18T00:04:24.398647Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:24.398647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"31twNnAE0RxTNBYWUOjqEj9AFkbx2R+4Z0MPyi3szf7BR6MJrBEQZ+23n6mfs7Yuw4ZAHAuLg0DUIxFrmEiPBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:24.399240Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.05531","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87625f07fdd4feb3111e8ecf1847637267c2ccba52ecafdb24e55ab2481e8fe1","sha256:caf53e42ea98f9ef2d35805bafed7fcc7209ec69146044c19e0aae3fa43bad56"],"state_sha256":"69e1b7773fcb21baa5d2ce34a6539eff91caa2817103168a999555f28b865178"}