{"id":"https://openalex.org/W2578358439","doi":"https://doi.org/10.1109/vcip.2016.7805453","title":"Multi-level convolutional channel features for content-based image retrieval","display_name":"Multi-level convolutional channel features for content-based image retrieval","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2578358439","doi":"https://doi.org/10.1109/vcip.2016.7805453","mag":"2578358439"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5100668926","display_name":"Kun Hu","orcid":"https://orcid.org/0000-0002-6891-8059"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Hu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056136429","display_name":"Yuan Dong","orcid":"https://orcid.org/0009-0004-8650-1603"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Dong","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101170186","display_name":"Hongliang Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongliang Bai","raw_affiliation_strings":["Beijing Face All Co., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Face All Co., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100668926"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60301744,"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":"1","last_page":"4"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9904000163078308,"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":0.8299201130867004},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7453545331954956},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6771453022956848},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6713956594467163},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6580461263656616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6549893617630005},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6450668573379517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6299986839294434},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5856138467788696},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5160326957702637},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48136264085769653},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43941420316696167},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4331786036491394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3366250991821289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299201130867004},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7453545331954956},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6771453022956848},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6713956594467163},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6580461263656616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6549893617630005},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6450668573379517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6299986839294434},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5856138467788696},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5160326957702637},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48136264085769653},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43941420316696167},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4331786036491394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3366250991821289},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W345900524","https://openalex.org/W1524680991","https://openalex.org/W1536680647","https://openalex.org/W1556531089","https://openalex.org/W1686810756","https://openalex.org/W1833123814","https://openalex.org/W1836465849","https://openalex.org/W1849277567","https://openalex.org/W1922773808","https://openalex.org/W1998808035","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2112796928","https://openalex.org/W2128017662","https://openalex.org/W2141362318","https://openalex.org/W2154579312","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2164022341","https://openalex.org/W2181199739","https://openalex.org/W2949117887","https://openalex.org/W2952239967","https://openalex.org/W4294147106","https://openalex.org/W6638556758","https://openalex.org/W6638667902","https://openalex.org/W6683949359","https://openalex.org/W6684191040","https://openalex.org/W6685522180"],"related_works":["https://openalex.org/W2900811989","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2024252608","https://openalex.org/W2905186525","https://openalex.org/W2044706866","https://openalex.org/W2031096531","https://openalex.org/W4367727948","https://openalex.org/W3198880640","https://openalex.org/W3017331082"],"abstract_inverted_index":{"An":[0],"effective":[1],"content-based":[2],"image":[3],"retrieval":[4,87],"(CBIR)":[5],"system":[6],"depends":[7],"on":[8,84],"the":[9,31,59],"discriminative":[10],"feature":[11],"which":[12],"represents":[13],"an":[14],"image.":[15],"In":[16],"this":[17],"work,":[18],"we":[19,43,75],"explore":[20],"deep":[21,34],"convolutional":[22,35,55],"features":[23,37,53,60],"for":[24,38],"a":[25,39,45,68],"CBIR":[26,40],"system.":[27,41],"We":[28],"first":[29],"show":[30,76],"effectiveness":[32],"of":[33],"channel":[36],"Then":[42],"introduce":[44],"Multi-Level":[46],"Pooling":[47],"method":[48],"(MLP)":[49],"to":[50,67],"obtain":[51],"object-aware":[52],"from":[54,62],"layers":[56,64],"and":[57],"finally":[58],"extracted":[61],"different":[63],"are":[65],"incorporated":[66],"short":[69],"representation":[70],"vector.":[71],"Through":[72],"multiple":[73],"experiments,":[74],"that":[77],"our":[78],"approach":[79],"can":[80],"achieve":[81],"state-of-art":[82],"results":[83],"several":[85],"benchmark":[86],"datasets.":[88]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
