{"id":"https://openalex.org/W2137345326","doi":"https://doi.org/10.1109/cvpr.2012.6248020","title":"Towards compact topical descriptors","display_name":"Towards compact topical descriptors","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2137345326","doi":"https://doi.org/10.1109/cvpr.2012.6248020","mag":"2137345326"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6248020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024879728","display_name":"Ling\u2010Yu Duan","orcid":"https://orcid.org/0000-0002-4491-2023"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling-Yu Duan","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333005","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2449-9793"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China","National Engineering Lab. for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Lab. for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016080094"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.8437,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94393887,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2925","last_page":"2932"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9958000183105469,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7600608468055725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127127647399902},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7013862133026123},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.663377046585083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.62552809715271},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.6050000190734863},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4770573675632477},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.4601784944534302},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44010522961616516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39789295196533203},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.36988237500190735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34530404210090637},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3143748342990875}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7600608468055725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127127647399902},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7013862133026123},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.663377046585083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.62552809715271},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.6050000190734863},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4770573675632477},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.4601784944534302},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44010522961616516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39789295196533203},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.36988237500190735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34530404210090637},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3143748342990875},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2012.6248020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W33214042","https://openalex.org/W1592774159","https://openalex.org/W1677409904","https://openalex.org/W1880262756","https://openalex.org/W1902027874","https://openalex.org/W1974578407","https://openalex.org/W1978259121","https://openalex.org/W1978394996","https://openalex.org/W1982321556","https://openalex.org/W1987488988","https://openalex.org/W2012592962","https://openalex.org/W2097018403","https://openalex.org/W2098047130","https://openalex.org/W2107034620","https://openalex.org/W2125574651","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2134731454","https://openalex.org/W2141303268","https://openalex.org/W2143421693","https://openalex.org/W2150782236","https://openalex.org/W2151103935","https://openalex.org/W2154587273","https://openalex.org/W2157639439","https://openalex.org/W2164996087","https://openalex.org/W2165225588","https://openalex.org/W2165846633","https://openalex.org/W2168247831","https://openalex.org/W2170536761","https://openalex.org/W2177274842","https://openalex.org/W2293597654","https://openalex.org/W2543932557","https://openalex.org/W2963145880","https://openalex.org/W4231510805","https://openalex.org/W6601318844","https://openalex.org/W6637400245","https://openalex.org/W6639619044","https://openalex.org/W6674471310","https://openalex.org/W6674642818","https://openalex.org/W6682709453","https://openalex.org/W6683265229","https://openalex.org/W6684290682","https://openalex.org/W6697214482","https://openalex.org/W7075742223"],"related_works":["https://openalex.org/W1615295117","https://openalex.org/W2158102958","https://openalex.org/W2035094092","https://openalex.org/W2947282851","https://openalex.org/W2045213079","https://openalex.org/W2938717424","https://openalex.org/W2277784908","https://openalex.org/W3043037362","https://openalex.org/W2179703327","https://openalex.org/W2587721114"],"abstract_inverted_index":{"We":[0,94,138],"introduce":[1],"a":[2,8,74,86,99,166],"Compact":[3],"Topical":[4],"Descriptor":[5],"to":[6,41,47,110,150,182],"learn":[7,95],"compact":[9,176,195],"yet":[10],"discriminative":[11],"image":[12,17,28,126,181],"signature":[13],"from":[14,108],"the":[15,24,34,44,49,55,60,65,78,91,117,180,184,193],"reference":[16,203],"corpus.":[18],"This":[19],"descriptor":[20,50,56,135,164,189],"is":[21,83],"deployed":[22],"over":[23,33,90,200],"well":[25],"used":[26],"bag-of-words":[27,61],"histogram,":[29],"with":[30,148],"two":[31],"merits":[32],"traditional":[35],"topical":[36,45,66,79,111],"features:":[37],"First,":[38],"we":[39,53,72,160],"propose":[40],"directly":[42],"control":[43],"sparsity":[46],"achieve":[48],"compactness.":[51],"Second,":[52],"ensure":[54],"discriminability":[57],"by":[58,98,197],"minimizing":[59],"reconstruction":[62],"errors":[63],"during":[64],"histogram":[67],"encoding.":[68],"To":[69],"this":[70],"end,":[71],"have":[73],"generative":[75],"viewpoint":[76],"of":[77,116,179],"feature":[80],"extraction,":[81],"which":[82],"estimated":[84],"as":[85,125],"sparse":[87,106],"MAP":[88],"estimation":[89,97],"original":[92],"bag-of-words.":[93],"such":[96,124],"bi-convex":[100],"optimization,":[101],"iterating":[102],"between":[103],"both":[104,143],"hierarchical":[105],"coding":[107],"words":[109],"histograms":[112],"and":[113,146,154],"dictionary":[114],"learning":[115,136],"corresponding":[118],"word-to-topic":[119],"transform.":[120],"Especially,":[121],"supervised":[122],"labels":[123],"ranking":[127],"list":[128],"can":[129],"be":[130],"also":[131,161],"incorporated":[132],"into":[133],"our":[134,140,163],"paradigm.":[137],"quantize":[139],"performance":[141],"in":[142],"Im-ageNet":[144],"10K":[145],"NUS-WIDE,":[147],"comparisons":[149],"bag-of-words,":[151],"LDA,":[152],"miniBoF,":[153],"Aggregated":[155],"Local":[156],"Descriptors.":[157],"In":[158],"practice,":[159],"implement":[162],"for":[165],"low":[167],"bit":[168],"rate":[169],"mobile":[170],"visual":[171],"search":[172],"application,":[173],"i.e.":[174],"sending":[175],"descriptors":[177,196],"instead":[178],"reduce":[183],"query":[185],"delivery":[186],"latency.":[187],"Our":[188],"has":[190],"significantly":[191],"outperformed":[192],"state-of-the-art":[194],"quantitative":[198],"evaluations":[199],"10":[201],"million":[202],"images.":[204]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
