{"id":"https://openalex.org/W2093786091","doi":"https://doi.org/10.1145/2382336.2382352","title":"Kinect image classification using LLC","display_name":"Kinect image classification using LLC","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2093786091","doi":"https://doi.org/10.1145/2382336.2382352","mag":"2093786091"},"language":"en","primary_location":{"id":"doi:10.1145/2382336.2382352","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382336.2382352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Internet Multimedia Computing and Service","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/A5101491458","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-1836-1643"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["South China University of Tech. Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwen Jin","raw_affiliation_strings":["South China Univ. of Tech. Guangzhou, China","South China University of Tech. Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China Univ. of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067600725","display_name":"Dapeng Tao","orcid":"https://orcid.org/0000-0003-0783-5273"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["South China Univ. of Tech. Guangzhou, China","South China University of Tech. Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China Univ. of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101491458"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15742111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"54"},"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":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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":0.8148210048675537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7349360585212708},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7281572818756104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6509113907814026},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6472011804580688},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6232053637504578},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5861249566078186},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5361112952232361},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5224168300628662},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5124866962432861},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.511207103729248},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.466921329498291},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43967920541763306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3859325349330902}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8148210048675537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349360585212708},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7281572818756104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6509113907814026},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6472011804580688},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6232053637504578},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5861249566078186},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5361112952232361},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5224168300628662},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5124866962432861},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.511207103729248},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.466921329498291},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43967920541763306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3859325349330902},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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:10.1145/2382336.2382352","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382336.2382352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G2041890701","display_name":null,"funder_award_id":"61075021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3980740869","display_name":null,"funder_award_id":"FY12-RES-THEME-067","funder_id":"https://openalex.org/F4320308943","funder_display_name":"Microsoft Research"}],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1555148682","https://openalex.org/W1566135517","https://openalex.org/W2027922120","https://openalex.org/W2085411191","https://openalex.org/W2097018403","https://openalex.org/W2098883970","https://openalex.org/W2104978738","https://openalex.org/W2109943925","https://openalex.org/W2117513046","https://openalex.org/W2118585731","https://openalex.org/W2132822263","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2156222070","https://openalex.org/W2156571432","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2186094539","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W3131016912","https://openalex.org/W2120164251","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,14,26],"introduce":[4],"locality-constrained":[5],"linear":[6],"coding":[7],"(LLC)":[8],"for":[9,44,56,73],"Kinect":[10],"image":[11,62],"classification.":[12,74],"First":[13],"extract":[15],"visual":[16,35],"features":[17,36],"from":[18],"the":[19,39],"RGB-D":[20],"(RGB":[21],"+":[22],"depth)":[23],"images.":[24],"Then":[25],"conduct":[27],"LLC":[28],"feature":[29],"representations":[30,41],"on":[31,76],"RGB":[32,61],"and":[33,38,63,78],"depth":[34,64],"separately,":[37],"two":[40,82],"are":[42],"concatenated":[43],"achieving":[45],"better":[46],"discriminative":[47],"capability.":[48],"The":[49],"PCA":[50],"dimensionality":[51],"reduction":[52],"method":[53],"is":[54,71],"used":[55],"eliminating":[57],"data":[58],"redundancy":[59],"between":[60],"image.":[65],"Finally":[66],"support":[67],"vector":[68],"machine":[69],"(SVM)":[70],"applied":[72],"Experiments":[75],"scene":[77],"object":[79],"classification":[80],"using":[81],"recent":[83],"publicly":[84],"available":[85],"datasets":[86],"([9],":[87],"[15])":[88],"demonstrate":[89],"that":[90],"our":[91],"proposed":[92],"approach":[93],"has":[94],"achieved":[95],"superior":[96],"performance":[97],"comparing":[98],"with":[99],"state-of-the-art":[100],"methods.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
