{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:GAIWE5KUWZXCJOTBV2653TGQTO","short_pith_number":"pith:GAIWE5KU","canonical_record":{"source":{"id":"1607.08368","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-28T09:10:19Z","cross_cats_sorted":[],"title_canon_sha256":"fb81cf320c71fd720223904dd89bc1cdbe358bf517cc1711b768e00d5133a0d6","abstract_canon_sha256":"ff55be3ccf0c06af0c4a8049e8d8a651eca1859e21bbe4f52d787b5a8ad5cbe1"},"schema_version":"1.0"},"canonical_sha256":"3011627554b66e24ba61aebdddccd09baeeaca3ef5465ff29bfc4a3d7c49d484","source":{"kind":"arxiv","id":"1607.08368","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.08368","created_at":"2026-05-18T01:10:19Z"},{"alias_kind":"arxiv_version","alias_value":"1607.08368v1","created_at":"2026-05-18T01:10:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.08368","created_at":"2026-05-18T01:10:19Z"},{"alias_kind":"pith_short_12","alias_value":"GAIWE5KUWZXC","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"GAIWE5KUWZXCJOTB","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"GAIWE5KU","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:GAIWE5KUWZXCJOTBV2653TGQTO","target":"record","payload":{"canonical_record":{"source":{"id":"1607.08368","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-28T09:10:19Z","cross_cats_sorted":[],"title_canon_sha256":"fb81cf320c71fd720223904dd89bc1cdbe358bf517cc1711b768e00d5133a0d6","abstract_canon_sha256":"ff55be3ccf0c06af0c4a8049e8d8a651eca1859e21bbe4f52d787b5a8ad5cbe1"},"schema_version":"1.0"},"canonical_sha256":"3011627554b66e24ba61aebdddccd09baeeaca3ef5465ff29bfc4a3d7c49d484","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:19.301299Z","signature_b64":"x5AfLjfnUk39vtpcO6HjV++i18wrfa8z+v+wWEw1/6UBNEmOMWpJVNGfNuJZ07PofTHK4+nvhxciQEllA7EmAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3011627554b66e24ba61aebdddccd09baeeaca3ef5465ff29bfc4a3d7c49d484","last_reissued_at":"2026-05-18T01:10:19.300776Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:19.300776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.08368","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":"2026-05-18T01:10:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UttKJh6Vre7m8Bi1nga3daG8y0SPjsDAaF7FW6umCpyiMr+IwGEuF1ujGZmRm9lwqxaw/Jd0xPfI/14BcPRAAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T21:12:44.107339Z"},"content_sha256":"21a159770b266652a1fed4e3d938e1004d31cc38c961ee4132503a9acfffbff2","schema_version":"1.0","event_id":"sha256:21a159770b266652a1fed4e3d938e1004d31cc38c961ee4132503a9acfffbff2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:GAIWE5KUWZXCJOTBV2653TGQTO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Local Feature Detectors, Descriptors, and Image Representations: A Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Yusuke Uchida","submitted_at":"2016-07-28T09:10:19Z","abstract_excerpt":"With the advances in both stable interest region detectors and robust and distinctive descriptors, local feature-based image or object retrieval has become a popular research topic. %All of the local feature-based image retrieval system involves two important processes: local feature extraction and image representation. The other key technology for image retrieval systems is image representation such as the bag-of-visual words (BoVW), Fisher vector, or Vector of Locally Aggregated Descriptors (VLAD) framework. In this paper, we review local features and image representations for image retrieva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.08368","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":"2026-05-18T01:10:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3drvimcbaZx74fTPV108XbXgVguEc2KBLqpTHVjbIwGNTP1TmFKmKfTKwbQ/iId4KGfDmtJ94YBwEMPzzY4lBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T21:12:44.108029Z"},"content_sha256":"6ed9f34ea648fb578ff48eb295d96ed4ef07b4b3078b211fcf4bf92c1bb32dfd","schema_version":"1.0","event_id":"sha256:6ed9f34ea648fb578ff48eb295d96ed4ef07b4b3078b211fcf4bf92c1bb32dfd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GAIWE5KUWZXCJOTBV2653TGQTO/bundle.json","state_url":"https://pith.science/pith/GAIWE5KUWZXCJOTBV2653TGQTO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GAIWE5KUWZXCJOTBV2653TGQTO/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":"2026-05-30T21:12:44Z","links":{"resolver":"https://pith.science/pith/GAIWE5KUWZXCJOTBV2653TGQTO","bundle":"https://pith.science/pith/GAIWE5KUWZXCJOTBV2653TGQTO/bundle.json","state":"https://pith.science/pith/GAIWE5KUWZXCJOTBV2653TGQTO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GAIWE5KUWZXCJOTBV2653TGQTO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GAIWE5KUWZXCJOTBV2653TGQTO","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":"ff55be3ccf0c06af0c4a8049e8d8a651eca1859e21bbe4f52d787b5a8ad5cbe1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-28T09:10:19Z","title_canon_sha256":"fb81cf320c71fd720223904dd89bc1cdbe358bf517cc1711b768e00d5133a0d6"},"schema_version":"1.0","source":{"id":"1607.08368","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.08368","created_at":"2026-05-18T01:10:19Z"},{"alias_kind":"arxiv_version","alias_value":"1607.08368v1","created_at":"2026-05-18T01:10:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.08368","created_at":"2026-05-18T01:10:19Z"},{"alias_kind":"pith_short_12","alias_value":"GAIWE5KUWZXC","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"GAIWE5KUWZXCJOTB","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"GAIWE5KU","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:6ed9f34ea648fb578ff48eb295d96ed4ef07b4b3078b211fcf4bf92c1bb32dfd","target":"graph","created_at":"2026-05-18T01:10:19Z","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":"With the advances in both stable interest region detectors and robust and distinctive descriptors, local feature-based image or object retrieval has become a popular research topic. %All of the local feature-based image retrieval system involves two important processes: local feature extraction and image representation. The other key technology for image retrieval systems is image representation such as the bag-of-visual words (BoVW), Fisher vector, or Vector of Locally Aggregated Descriptors (VLAD) framework. In this paper, we review local features and image representations for image retrieva","authors_text":"Yusuke Uchida","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-28T09:10:19Z","title":"Local Feature Detectors, Descriptors, and Image Representations: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.08368","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":"sha256:21a159770b266652a1fed4e3d938e1004d31cc38c961ee4132503a9acfffbff2","target":"record","created_at":"2026-05-18T01:10:19Z","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":"ff55be3ccf0c06af0c4a8049e8d8a651eca1859e21bbe4f52d787b5a8ad5cbe1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-28T09:10:19Z","title_canon_sha256":"fb81cf320c71fd720223904dd89bc1cdbe358bf517cc1711b768e00d5133a0d6"},"schema_version":"1.0","source":{"id":"1607.08368","kind":"arxiv","version":1}},"canonical_sha256":"3011627554b66e24ba61aebdddccd09baeeaca3ef5465ff29bfc4a3d7c49d484","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3011627554b66e24ba61aebdddccd09baeeaca3ef5465ff29bfc4a3d7c49d484","first_computed_at":"2026-05-18T01:10:19.300776Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:10:19.300776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x5AfLjfnUk39vtpcO6HjV++i18wrfa8z+v+wWEw1/6UBNEmOMWpJVNGfNuJZ07PofTHK4+nvhxciQEllA7EmAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:10:19.301299Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.08368","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21a159770b266652a1fed4e3d938e1004d31cc38c961ee4132503a9acfffbff2","sha256:6ed9f34ea648fb578ff48eb295d96ed4ef07b4b3078b211fcf4bf92c1bb32dfd"],"state_sha256":"b6383ce19397b7d383116b5632c5aba901f32cfdee56094e867c8ad4970941a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pHvHeir/cyuoF+Ut2V15HpHZglb30r798d4OLCeGDxELhY8Evreo5ti3Imufw6m69yX9pdapqELPGkAcqDTGBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T21:12:44.111958Z","bundle_sha256":"0e054b42f6a917f6c492c5448f93eb9a7082fda99ea24f41fade97039cd5597e"}}