{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:SHLKCT5X57P2MRV427622TL2MC","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":"ad7064fbb5caca9849a284114940b01cf3cc5225c4055f16aaa7563101ef121f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-02-22T09:51:49Z","title_canon_sha256":"546efb3e61feb6861a57af64fcc6fdb7a16023334b26634368fa42e3763ebeda"},"schema_version":"1.0","source":{"id":"1702.06728","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.06728","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"arxiv_version","alias_value":"1702.06728v3","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.06728","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"pith_short_12","alias_value":"SHLKCT5X57P2","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SHLKCT5X57P2MRV4","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SHLKCT5X","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:788f8a4e7b412344b472f6b108c59d819d4cfa3709c9f6cc22f95caeff92f81a","target":"graph","created_at":"2026-05-18T00:38:35Z","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":"Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block can be down-sampled before being compressed by normal intra coding, and then up-sampled to its original resolution. Different from previous studies on down/up-sampling-based coding, the up-sampling methods in our scheme have been designed by training CNN instead of hand-crafted. We explore a new CNN structure for up-sampling, which features deconvolution of feature maps, multi-scale fusion, and residue learning, maki","authors_text":"Dong Liu, Feng Wu, Haitao Yang, Hong Zhang, Houqiang Li, Li Li, Yue Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-02-22T09:51:49Z","title":"Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.06728","kind":"arxiv","version":3},"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":"sha256:93b5f09e648f7f0fad93b39df5fa985aeabaef55c6849fe7a821bd7f6427583b","target":"record","created_at":"2026-05-18T00:38:35Z","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":"ad7064fbb5caca9849a284114940b01cf3cc5225c4055f16aaa7563101ef121f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-02-22T09:51:49Z","title_canon_sha256":"546efb3e61feb6861a57af64fcc6fdb7a16023334b26634368fa42e3763ebeda"},"schema_version":"1.0","source":{"id":"1702.06728","kind":"arxiv","version":3}},"canonical_sha256":"91d6a14fb7efdfa646bcd7fdad4d7a60b93ad455fddfdce68eb5b41b9d86cb99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91d6a14fb7efdfa646bcd7fdad4d7a60b93ad455fddfdce68eb5b41b9d86cb99","first_computed_at":"2026-05-18T00:38:35.991240Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:35.991240Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xya3t1DgHcrSkd4SuzwubC6MNQ1pwUr5gvdrLCBL0h/b8aWVHagGdw9Q9uMeJwIa5cgqZSQeN+T3XLW7yqWcCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:35.991826Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.06728","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93b5f09e648f7f0fad93b39df5fa985aeabaef55c6849fe7a821bd7f6427583b","sha256:788f8a4e7b412344b472f6b108c59d819d4cfa3709c9f6cc22f95caeff92f81a"],"state_sha256":"d5219b464afd74a81b8623a18e01989dbdec617cc0b799dbdbe74a9ac8e6c0b0"}