{"id":"https://openalex.org/W2152698531","doi":"https://doi.org/10.1145/1924559.1924598","title":"An indexing approach for speeding-up image classification","display_name":"An indexing approach for speeding-up image classification","publication_year":2010,"publication_date":"2010-12-12","ids":{"openalex":"https://openalex.org/W2152698531","doi":"https://doi.org/10.1145/1924559.1924598","mag":"2152698531"},"language":"en","primary_location":{"id":"doi:10.1145/1924559.1924598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"type":"article","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/A5089542345","display_name":"Rahul Kumar Jain","orcid":"https://orcid.org/0000-0002-0768-2193"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rahul Jain","raw_affiliation_strings":["IIIT-Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT-Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063885621","display_name":"P. Sudha","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Praveen M. Sudha","raw_affiliation_strings":["IIIT-Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT-Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012164453","display_name":"Sankar K. Pramod","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sankar K. Pramod","raw_affiliation_strings":["IIIT-Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT-Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053112307","display_name":"C. V. Jawahar","orcid":"https://orcid.org/0000-0001-6767-7057"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. V. Jawahar","raw_affiliation_strings":["IIIT-Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT-Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089542345"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19969727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"290","last_page":"297"},"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":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9857000112533569,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.8601474761962891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8142338991165161},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.687079906463623},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6457368731498718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6073325276374817},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5944673418998718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5604802966117859},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5185461640357971},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5061790347099304},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49045416712760925},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.4171351492404938},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4128623306751251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.410064697265625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38053977489471436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3604283928871155}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8601474761962891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8142338991165161},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.687079906463623},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6457368731498718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6073325276374817},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5944673418998718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5604802966117859},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5185461640357971},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5061790347099304},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49045416712760925},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4171351492404938},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4128623306751251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.410064697265625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38053977489471436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3604283928871155},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1924559.1924598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.417.9763","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.9763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cvit.iiit.ac.in/papers/Rahul10AnIndexing.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1491105865","https://openalex.org/W1574862351","https://openalex.org/W1576445103","https://openalex.org/W1627400044","https://openalex.org/W1980911747","https://openalex.org/W1992047056","https://openalex.org/W2099355420","https://openalex.org/W2104978738","https://openalex.org/W2113201641","https://openalex.org/W2120240539","https://openalex.org/W2122194009","https://openalex.org/W2122808326","https://openalex.org/W2128017662","https://openalex.org/W2130660124","https://openalex.org/W2131846894","https://openalex.org/W2134380836","https://openalex.org/W2139479830","https://openalex.org/W2141362318","https://openalex.org/W2148596671","https://openalex.org/W2151095208","https://openalex.org/W2151103935","https://openalex.org/W2155904486","https://openalex.org/W2159350554","https://openalex.org/W2161969291","https://openalex.org/W2162006472","https://openalex.org/W2162915993","https://openalex.org/W2164598857","https://openalex.org/W2165828254","https://openalex.org/W2167865917","https://openalex.org/W2538008885","https://openalex.org/W2538333829"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2076896210","https://openalex.org/W2384288472","https://openalex.org/W1539573266","https://openalex.org/W2093596879","https://openalex.org/W2376984068","https://openalex.org/W2201969175","https://openalex.org/W2747088704","https://openalex.org/W2017257332"],"abstract_inverted_index":{"One":[0],"of":[1,10,14,45,58,62,104,122,130],"the":[2,12,46,55,105,108,112,123,154,158,176,184],"most":[3,44],"common":[4],"computer":[5],"vision":[6],"tasks":[7],"is":[8,36,65,94,166,178],"that":[9,71,93,111],"recognizing":[11],"category":[13],"objects":[15],"present":[16],"in":[17],"a":[18,59,86,119,128,144],"given":[19],"image.":[20],"Previous":[21],"work":[22,83,117],"has":[23],"mostly":[24],"focused":[25],"on":[26,31,39,118,175],"building":[27],"accurate":[28],"classifiers":[29],"based":[30,164],"carefully":[32],"selected":[33],"features.":[34],"Classification":[35],"often":[37],"carried":[38],"individual":[40],"test":[41,156],"images,":[42,137],"while":[43],"practical":[47],"situations,":[48],"such":[49],"as":[50],"webscale":[51],"image":[52],"indexing,":[53],"demand":[54],"simultaneous":[56],"classification":[57,138,159],"large":[60],"collection":[61],"images.":[63],"This":[64],"especially":[66],"true":[67],"for":[68,183],"real-world":[69],"datasets,":[70],"already":[72],"contain":[73],"numerous":[74],"un-indexed":[75],"images":[76],"and":[77],"videos.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"towards":[84,90],"developing":[85],"computationally":[87],"efficient":[88],"approach":[89,165],"object":[91,141],"recognition,":[92],"inspired":[95],"by":[96],"retrieval":[97],"schemes.":[98],"We":[99],"perform":[100],"an":[101],"offline":[102],"indexing":[103,163],"features":[106,133],"from":[107,135],"collection,":[109],"so":[110],"classifier":[113],"only":[114],"needs":[115],"to":[116,168],"small":[120],"subset":[121],"entire":[124],"feature":[125],"set.":[126],"Over":[127,153],"set":[129],"2":[131],"Million":[132],"extracted":[134],"7000":[136],"against":[139],"5":[140],"categories":[142],"using":[143,161],"standard":[145],"SVM":[146],"would":[147],"require":[148],"more":[149],"than":[150,170,180],"260":[151],"hours.":[152,172],"same":[155],"case,":[157],"time":[160],"our":[162],"reduced":[167],"less":[169,179],"13":[171],"The":[173],"compromise":[174],"accuracy":[177],"7":[181],"%":[182],"20X":[185],"speedup":[186],"achieved.":[187],"1.":[188]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
