{"id":"https://openalex.org/W2566327826","doi":"https://doi.org/10.1145/3007669.3008269","title":"A Comparative Study On Features for Similar Image Search","display_name":"A Comparative Study On Features for Similar Image Search","publication_year":2016,"publication_date":"2016-08-19","ids":{"openalex":"https://openalex.org/W2566327826","doi":"https://doi.org/10.1145/3007669.3008269","mag":"2566327826"},"language":"en","primary_location":{"id":"doi:10.1145/3007669.3008269","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007669.3008269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 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/A5101506007","display_name":"Haihui Liu","orcid":"https://orcid.org/0009-0003-7870-215X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haihui Liu","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660306","display_name":"Wan\u2010Lei Zhao","orcid":"https://orcid.org/0000-0002-7915-447X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wan-Lei Zhao","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019866433","display_name":"Kyung-Mo Koo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyungmo Koo","raw_affiliation_strings":["Odd Concepts Inc., Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Odd Concepts Inc., Seoul, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070498298","display_name":"Sangwhan Moon","orcid":"https://orcid.org/0000-0001-9033-9304"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sangwhan Moon","raw_affiliation_strings":["Odd Concepts Inc., Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Odd Concepts Inc., Seoul, Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101506007"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14818917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"349","last_page":"353"},"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":0.9984999895095825,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9801999926567078,"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/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.7671059370040894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7521708011627197},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7230349183082581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7052851319313049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6998076438903809},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6642823815345764},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5947259664535522},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5839642286300659},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.524965226650238},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4979579448699951},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49543440341949463},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4315928518772125},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4195478558540344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3325846791267395},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2004433274269104}],"concepts":[{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.7671059370040894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7521708011627197},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7230349183082581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7052851319313049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6998076438903809},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6642823815345764},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5947259664535522},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5839642286300659},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.524965226650238},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4979579448699951},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49543440341949463},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4315928518772125},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4195478558540344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3325846791267395},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2004433274269104},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3007669.3008269","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007669.3008269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"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":27,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W1487583988","https://openalex.org/W1556531089","https://openalex.org/W1987488988","https://openalex.org/W2012592962","https://openalex.org/W2042316011","https://openalex.org/W2049601808","https://openalex.org/W2076188996","https://openalex.org/W2105516263","https://openalex.org/W2119605622","https://openalex.org/W2124509324","https://openalex.org/W2128237624","https://openalex.org/W2131846894","https://openalex.org/W2147238549","https://openalex.org/W2148809531","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2171448996","https://openalex.org/W2171858339","https://openalex.org/W2212363941","https://openalex.org/W2294444065","https://openalex.org/W2543932557","https://openalex.org/W2618530766","https://openalex.org/W2930967833","https://openalex.org/W2963542991","https://openalex.org/W4205398292","https://openalex.org/W6661056839"],"related_works":["https://openalex.org/W1995291250","https://openalex.org/W4379791551","https://openalex.org/W1997438849","https://openalex.org/W2100309816","https://openalex.org/W2171339367","https://openalex.org/W2731517839","https://openalex.org/W2376532164","https://openalex.org/W2969631507","https://openalex.org/W2735794310","https://openalex.org/W2011260834"],"abstract_inverted_index":{"Feature":[0],"representation":[1,73],"plays":[2],"a":[3,17,70],"key":[4],"role":[5],"to":[6],"the":[7,21,56,64,85,92],"success":[8],"of":[9,23,88,94],"an":[10],"image":[11,28],"retrieval":[12,52],"system.":[13],"In":[14,54,68],"this":[15,106],"paper,":[16],"comparative":[18],"study":[19,33],"over":[20],"effectiveness":[22],"several":[24,36],"features":[25,38,61],"for":[26],"content-based":[27],"search":[29],"is":[30,58,81],"presented.":[31],"This":[32],"covers":[34],"across":[35],"conventional":[37],"as":[39,41],"well":[40],"convolutional":[42],"neural":[43],"networks":[44],"(CNN)":[45],"features,":[46],"which":[47,84],"are":[48,62,97],"introduced":[49],"recently":[50],"into":[51],"tasks.":[53],"particular,":[55],"evaluation":[57,102],"conducted":[59],"when":[60],"under":[63],"same":[65],"encoding":[66],"scheme.":[67],"addition,":[69],"hybrid":[71,107],"feature":[72,90,96,108],"that":[74,105],"combines":[75],"keypoint":[76,89],"detector":[77],"and":[78,91],"CNN":[79,95],"descriptor":[80],"proposed,":[82],"in":[83],"geometric":[86],"invariances":[87],"distinctiveness":[93],"integrated.":[98],"Experiments":[99],"on":[100],"popular":[101],"benchmarks":[103],"show":[104],"achieves":[109],"superior":[110],"performance.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
