{"id":"https://openalex.org/W2510542764","doi":"https://doi.org/10.1109/icme.2016.7552951","title":"A comparative evaluation: Different methods for simplifying the deep compositional features","display_name":"A comparative evaluation: Different methods for simplifying the deep compositional features","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2510542764","doi":"https://doi.org/10.1109/icme.2016.7552951","mag":"2510542764"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5101772154","display_name":"Shuang Qiu","orcid":"https://orcid.org/0000-0002-9769-5042"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Qiu","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006854141","display_name":"Shikui Wei","orcid":"https://orcid.org/0000-0003-3803-9763"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikui Wei","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101772154"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07409334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.838279664516449},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6580450534820557},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5942560434341431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5693067312240601},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.543609619140625},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4900178015232086},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46215349435806274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3509008586406708},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3263481855392456},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2773531377315521},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19214218854904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.838279664516449},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6580450534820557},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5942560434341431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5693067312240601},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.543609619140625},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4900178015232086},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46215349435806274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3509008586406708},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3263481855392456},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2773531377315521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19214218854904175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W159470477","https://openalex.org/W1556531089","https://openalex.org/W1870428314","https://openalex.org/W1972996736","https://openalex.org/W1974647172","https://openalex.org/W1987040325","https://openalex.org/W2044195942","https://openalex.org/W2071901160","https://openalex.org/W2074668987","https://openalex.org/W2084363474","https://openalex.org/W2113276649","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2128017662","https://openalex.org/W2141362318","https://openalex.org/W2148554573","https://openalex.org/W2155893237","https://openalex.org/W2159463015","https://openalex.org/W2162006472","https://openalex.org/W2163605009","https://openalex.org/W2171896402","https://openalex.org/W2293597654","https://openalex.org/W2296447001","https://openalex.org/W2799061466","https://openalex.org/W2807884750","https://openalex.org/W3125882365","https://openalex.org/W6639283537","https://openalex.org/W6643593226","https://openalex.org/W6678556256","https://openalex.org/W6683764260","https://openalex.org/W6684191040","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2965546495","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/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Although":[0],"deep":[1,44,69,119],"compositional":[2,45,70,120],"features":[3,46,71,121],"have":[4],"achieved":[5],"an":[6],"amazing":[7],"performance":[8],"in":[9,61,92],"many":[10],"application":[11],"scenarios,":[12],"it":[13,106],"is":[14,107],"not":[15],"easy":[16],"for":[17,40],"them":[18],"to":[19,26,87,109,134],"directly":[20],"tackle":[21],"big":[22],"data":[23],"case":[24],"due":[25],"their":[27],"high":[28],"computing":[29],"time":[30],"and":[31,53,99,114],"memory":[32,97,115],"usage.":[33],"This":[34],"paper":[35],"presents":[36],"a":[37,82],"comparative":[38],"evaluation":[39],"the":[41,49,67,90,118,136],"simplification":[42],"of":[43,94,117,138],"by":[47],"exploring":[48],"existing":[50],"vector":[51],"quantization":[52],"binarization":[54],"techniques.":[55],"Different":[56],"techniques":[57,91],"display":[58],"different":[59],"capabilities":[60],"similarity-preserving":[62],"or":[63,77],"memory-saving":[64],"when":[65],"projecting":[66],"original":[68],"into":[72],"more":[73],"compact":[74],"visual":[75],"words":[76],"binary":[78],"codes.":[79],"We":[80],"propose":[81],"dedicated":[83],"image":[84],"searching":[85],"framework":[86],"evaluate":[88],"all":[89],"terms":[93],"computational":[95,112],"cost,":[96],"usage":[98,116],"discrimination":[100],"preserving.":[101],"Extensive":[102],"experiments":[103],"demonstrate":[104],"that":[105],"feasible":[108],"greatly":[110],"reduce":[111],"cost":[113],"while":[122],"preserving":[123],"enough":[124],"discriminative":[125],"power.":[126],"In":[127],"addition,":[128],"some":[129],"useful":[130],"conclusions":[131],"are":[132],"derived":[133],"guide":[135],"design":[137],"better":[139],"simplifying":[140],"schemes.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}