{"id":"https://openalex.org/W1998480267","doi":"https://doi.org/10.1145/2671188.2749287","title":"Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients","display_name":"Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W1998480267","doi":"https://doi.org/10.1145/2671188.2749287","mag":"1998480267"},"language":"en","primary_location":{"id":"doi:10.1145/2671188.2749287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100627380","display_name":"Jinhui Chen","orcid":"https://orcid.org/0000-0002-3701-9026"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinhui Chen","raw_affiliation_strings":["Kobe University, Kobe, Japan","[Kobe University, Kobe, JAPAN]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"[Kobe University, Kobe, JAPAN]","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041887072","display_name":"Toru Nakashika","orcid":"https://orcid.org/0000-0003-1863-6771"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Nakashika","raw_affiliation_strings":["Kobe University, Kobe, Japan","[Kobe University, Kobe, JAPAN]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"[Kobe University, Kobe, JAPAN]","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009283470","display_name":"Tetsuya Takiguchi","orcid":"https://orcid.org/0000-0001-5005-7679"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Takiguchi","raw_affiliation_strings":["Kobe University, Kobe, Japan","[Kobe University, Kobe, JAPAN]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"[Kobe University, Kobe, JAPAN]","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040766342","display_name":"Yasuo Ariki","orcid":"https://orcid.org/0000-0003-3473-2026"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Ariki","raw_affiliation_strings":["Kobe University, Kobe, Japan","[Kobe University, Kobe, JAPAN]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"[Kobe University, Kobe, JAPAN]","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"443","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7608979940414429},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7583814859390259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7135202884674072},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6983734369277954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6889129281044006},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6562066078186035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6390284299850464},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5954479575157166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.540834367275238},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5345738530158997},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5078497529029846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5070254802703857},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.46223053336143494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30007433891296387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2754179537296295}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7608979940414429},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7583814859390259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7135202884674072},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6983734369277954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6889129281044006},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6562066078186035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6390284299850464},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5954479575157166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.540834367275238},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5345738530158997},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5078497529029846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5070254802703857},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.46223053336143494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30007433891296387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2754179537296295},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2671188.2749287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1485800236","https://openalex.org/W1977601302","https://openalex.org/W2049695152","https://openalex.org/W2063599644","https://openalex.org/W2099355420","https://openalex.org/W2107525898","https://openalex.org/W2109506130","https://openalex.org/W2125148312","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W7010647825"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2433492094","https://openalex.org/W2746816529","https://openalex.org/W2767833206","https://openalex.org/W2900811989"],"abstract_inverted_index":{"Our":[0],"research":[1],"focuses":[2],"on":[3,37,97],"the":[4,31,92,107],"question":[5],"of":[6,22,30,41,49],"feature":[7,16,72,87,118],"descriptors":[8,119],"for":[9,26,52,71,120],"robust":[10],"effective":[11,113],"computing,":[12],"proposing":[13],"a":[14,38],"novel":[15],"representation":[17],"method,":[18],"namely,":[19],"rotation-invariant":[20,84],"histograms":[21],"oriented":[23],"gradients":[24],"(Ri-HOG)":[25],"image":[27,117,122],"retrieval.":[28,123],"Most":[29],"existing":[32,116],"HOG":[33,80],"techniques":[34],"are":[35],"computed":[36],"dense":[39],"grid":[40],"uniformly-spaced":[42],"cells":[43,61],"and":[44,62,86,99],"use":[45],"overlapping":[46],"local":[47],"contrast":[48],"rectangular":[50],"blocks":[51],"normalization.":[53],"However,":[54],"we":[55],"adopt":[56],"annular":[57],"spatial":[58],"bins":[59],"type":[60],"apply":[63],"radial":[64],"gradient":[65,68],"to":[66,83],"attain":[67],"binning":[69],"invariance":[70],"extraction.":[73],"In":[74,90],"this":[75],"way,":[76],"it":[77],"significantly":[78],"enhances":[79],"in":[81],"regard":[82],"ability":[85],"descripting":[88],"accuracy.":[89],"experiments,":[91],"proposed":[93,108],"method":[94,109],"is":[95,110],"evaluated":[96],"Corel-5k":[98],"Corel-10k":[100],"datasets.":[101],"The":[102],"experimental":[103],"results":[104],"demonstrate":[105],"that":[106],"much":[111],"more":[112],"than":[114],"many":[115],"content-based":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}