{"id":"https://openalex.org/W2103170779","doi":"https://doi.org/10.1109/icassp.2010.5494964","title":"Building pair-wise visual word tree for efficent image re-ranking","display_name":"Building pair-wise visual word tree for efficent image re-ranking","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2103170779","doi":"https://doi.org/10.1109/icassp.2010.5494964","mag":"2103170779"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5494964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5055433405","display_name":"Shiliang Zhang","orcid":"https://orcid.org/0000-0001-9053-9314"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiliang Zhang","raw_affiliation_strings":["Key Lab of Intelli. Info. Process, Inst. of Comput. Tech., CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelli. Info. Process, Inst. of Comput. Tech., CAS, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Chinese Academy and Sciences, Beijing, China","Graduate University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059027378","display_name":"Yijuan Lu","orcid":"https://orcid.org/0000-0002-9855-8365"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijuan Lu","raw_affiliation_strings":["Department of Computer Science, Texas State University, San Marcos, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas State University, San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao Wen","raw_affiliation_strings":["Key Lab of Intelli. Info. Process, Inst. of Comput. Tech., CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelli. Info. Process, Inst. of Comput. Tech., CAS, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-5165-4325"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Department of Computer Science, University of Texas at San Antonio, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas at San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64108056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"794","last_page":"797"},"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":1.0,"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":1.0,"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":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7905011177062988},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.710247278213501},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.7011576294898987},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6932783126831055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6913937926292419},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6211168169975281},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5922555923461914},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.5405498743057251},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49030283093452454},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48346027731895447},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45980846881866455},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.43207743763923645},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3860437273979187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3581320643424988},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3445160388946533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13562297821044922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7905011177062988},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.710247278213501},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.7011576294898987},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6932783126831055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6913937926292419},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6211168169975281},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5922555923461914},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.5405498743057251},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49030283093452454},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48346027731895447},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45980846881866455},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.43207743763923645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3860437273979187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3581320643424988},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3445160388946533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13562297821044922},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5494964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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":15,"referenced_works":["https://openalex.org/W1991980054","https://openalex.org/W2078570228","https://openalex.org/W2099930951","https://openalex.org/W2104311745","https://openalex.org/W2118509786","https://openalex.org/W2128017662","https://openalex.org/W2133671054","https://openalex.org/W2139882995","https://openalex.org/W2147152072","https://openalex.org/W2151103935","https://openalex.org/W2154952031","https://openalex.org/W2168133252","https://openalex.org/W2170146448","https://openalex.org/W4247915583","https://openalex.org/W6682717316"],"related_works":["https://openalex.org/W1615295117","https://openalex.org/W2158102958","https://openalex.org/W2035094092","https://openalex.org/W2277784908","https://openalex.org/W2947282851","https://openalex.org/W2045213079","https://openalex.org/W2938717424","https://openalex.org/W3043037362","https://openalex.org/W2587721114","https://openalex.org/W2518262377"],"abstract_inverted_index":{"Bag-of-visual":[0],"Words":[1],"(BoW)":[2],"image":[3,122,137,153],"representation":[4,21,44,85,146],"is":[5,22,28,39,127],"getting":[6],"popular":[7],"in":[8,49,78,90],"computer":[9],"vision":[10],"and":[11,71,160],"multimedia":[12],"communities.":[13],"However,":[14],"experiments":[15,140],"show":[16,141],"that":[17,142],"the":[18,32,41,46,57,69,81,87,94,109,115,132,143,151,157],"traditional":[19,42],"BoW":[20,43,84,145],"not":[23],"as":[24,26],"effective":[25],"it":[27],"desired.":[29],"One":[30],"of":[31],"most":[33,116],"important":[34],"reasons":[35],"for":[36,120,136],"its":[37],"ineffectiveness":[38],"that,":[40],"lost":[45],"spatial":[47,72,88],"information":[48,73],"images.":[50],"To":[51],"overcome":[52],"this":[53],"problem,":[54],"we":[55,99],"propose":[56,100],"pair-wise":[58,95],"visual":[59,65,96,118],"word":[60,66,97,104],"tree,":[61,98],"within":[62],"which":[63,107],"each":[64],"keeps":[67],"both":[68],"appearance":[70],"between":[74],"two":[75],"interest":[76],"points":[77],"image.":[79,91],"Thus,":[80],"corresponding":[82],"novel":[83,144],"preserves":[86],"structure":[89],"Based":[92],"on":[93],"an":[101],"efficient":[102,125],"topic":[103,134],"selection":[105],"algorithm,":[106],"utilizes":[108],"Latent":[110],"Semantic":[111],"Analysis":[112],"to":[113,130],"discover":[114],"expressive":[117],"words":[119,135],"different":[121],"categories.":[123],"An":[124],"strategy":[126,155],"then":[128],"utilized":[129],"combine":[131],"selected":[133],"re-ranking.":[138],"Massive":[139],"shows":[147,156],"promising":[148,161],"performance.":[149],"Meanwhile,":[150],"proposed":[152],"re-ranking":[154],"state-of-the-art":[158],"precision":[159],"efficiency.":[162]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}