{"id":"https://openalex.org/W2126227692","doi":"https://doi.org/10.1109/icassp.2011.5946933","title":"Combining generic and class-specific codebooks for object categorization and detection","display_name":"Combining generic and class-specific codebooks for object categorization and detection","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2126227692","doi":"https://doi.org/10.1109/icassp.2011.5946933","mag":"2126227692"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5078668504","display_name":"Hong Pana","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Pana","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China, 210096","School of Automation, Southeast University, Nanjing China 210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China, 210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing China 210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564873","display_name":"Yaping Zhu","orcid":"https://orcid.org/0000-0002-8150-6366"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YaPing Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, UCSD, La Jolla, CA, USA","Department of Electrical and Computer Engineering, UCSD, La Jolla, CA 92093-0407, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, UCSD, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, UCSD, La Jolla, CA 92093-0407, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":null,"display_name":"LiangZheng Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LiangZheng Xia","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China","School of Automation, Southeast University, Nanjing China 210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing China 210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719190","display_name":"Truong Q. Nguyen","orcid":"https://orcid.org/0000-0002-5022-063X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong Q. Nguyen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, UCSD, La Jolla, CA, USA","Department of Electrical and Computer Engineering, UCSD, La Jolla, CA 92093-0407, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, UCSD, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, UCSD, La Jolla, CA 92093-0407, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49632119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2264","last_page":"2267"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9968000054359436,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9048961400985718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7957074046134949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.755573570728302},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7137218117713928},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7113742828369141},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7043635249137878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6399760246276855},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5737362504005432},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5383980870246887},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48987239599227905},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4843634068965912},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44504356384277344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3305708169937134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.27470409870147705}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9048961400985718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7957074046134949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.755573570728302},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7137218117713928},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7113742828369141},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7043635249137878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399760246276855},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5737362504005432},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5383980870246887},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48987239599227905},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4843634068965912},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44504356384277344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3305708169937134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27470409870147705}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.456.1806","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.1806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://videoprocessing.ucsd.edu/publications/Year_2011/14_Pan.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1995444699","https://openalex.org/W2012330712","https://openalex.org/W2022137768","https://openalex.org/W2103658758","https://openalex.org/W2108927102","https://openalex.org/W2123602281","https://openalex.org/W2154422044","https://openalex.org/W2161567010","https://openalex.org/W2164877691","https://openalex.org/W2177274842","https://openalex.org/W4253281045","https://openalex.org/W6676267127","https://openalex.org/W6683978607"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2965546495","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W4311804456","https://openalex.org/W3103844505","https://openalex.org/W1487808658","https://openalex.org/W2971551846"],"abstract_inverted_index":{"Combining":[0],"advantages":[1],"of":[2,76,97,116],"shape":[3,30],"and":[4,25,66,119,122],"appearance":[5,77],"features,":[6],"we":[7],"propose":[8],"a":[9,19,35,43,62,95,102],"novel":[10],"model":[11,65],"that":[12,37,91,109],"integrates":[13],"these":[14,59],"two":[15],"complementary":[16],"features":[17,31],"into":[18],"common":[20],"framework":[21],"for":[22,79],"object":[23,82],"categorization":[24],"detection.":[26],"In":[27],"particular,":[28],"generic":[29],"are":[32,92],"applied":[33],"as":[34],"pre-filter":[36],"produces":[38],"initial":[39],"detection":[40],"hypotheses":[41,60],"following":[42],"weak":[44],"spatial":[45,64],"model,":[46],"then":[47],"the":[48,74,80,114],"learnt":[49],"class-specific":[50],"discriminative":[51,88],"appearance-based":[52],"SVM":[53],"classifier":[54],"using":[55,101,127],"local":[56,99],"kernels":[57],"verifies":[58],"with":[61],"stronger":[63],"filter":[67],"out":[68],"false":[69,117],"positives.":[70],"We":[71],"also":[72],"enhance":[73],"discriminability":[75],"codebooks":[78,90],"target":[81],"class":[83],"by":[84],"selecting":[85],"several":[86],"most":[87],"part":[89],"built":[93],"upon":[94],"pool":[96],"heterogeneous":[98],"descriptors,":[100],"classification":[103],"likelihood":[104],"criterion.":[105],"Experimental":[106],"results":[107],"show":[108],"both":[110],"improvements":[111],"significantly":[112],"reduce":[113],"number":[115],"positives":[118],"cross-class":[120],"confusions":[121],"perform":[123],"better":[124],"than":[125],"methods":[126],"only":[128],"one":[129],"cue.":[130]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
