{"id":"https://openalex.org/W4399418857","doi":"https://doi.org/10.1145/3652583.3658090","title":"Context or Clutter? Efficiently Matching Objects Across Scenes","display_name":"Context or Clutter? Efficiently Matching Objects Across Scenes","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399418857","doi":"https://doi.org/10.1145/3652583.3658090"},"language":"en","primary_location":{"id":"doi:10.1145/3652583.3658090","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658090","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658090","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658090","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026232764","display_name":"Albatool Wazzan","orcid":"https://orcid.org/0000-0002-0181-700X"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Albatool Wazzan","raw_affiliation_strings":["Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084695042","display_name":"Imtiaz Ahmad","orcid":"https://orcid.org/0000-0002-9043-8035"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imtiaz Ahmad","raw_affiliation_strings":["Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042822346","display_name":"Stephen MacNeil","orcid":"https://orcid.org/0000-0003-2781-6619"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Macneil","raw_affiliation_strings":["Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057374067","display_name":"Richard Souvenir","orcid":"https://orcid.org/0000-0002-6066-0946"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Souvenir","raw_affiliation_strings":["Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer &amp; Info Sciences, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026232764"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.2493,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48734038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"404","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.803634524345398},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7894807457923889},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7546616792678833},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7346987724304199},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7261452078819275},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7109931111335754},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6539148688316345},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6274265646934509},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6039083003997803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006137132644653},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.5376116037368774},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4930245578289032},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4478074014186859},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34157800674438477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32708996534347534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28147390484809875},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.07588788866996765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06852889060974121},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06577157974243164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803634524345398},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7894807457923889},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7546616792678833},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7346987724304199},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7261452078819275},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7109931111335754},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6539148688316345},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6274265646934509},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6039083003997803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006137132644653},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.5376116037368774},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4930245578289032},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4478074014186859},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34157800674438477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32708996534347534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28147390484809875},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.07588788866996765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06852889060974121},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06577157974243164},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652583.3658090","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658090","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658090","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652583.3658090","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658090","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658090","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399418857.pdf","grobid_xml":"https://content.openalex.org/works/W4399418857.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1908985308","https://openalex.org/W1964253918","https://openalex.org/W1986992584","https://openalex.org/W1995911388","https://openalex.org/W2007619285","https://openalex.org/W2028888470","https://openalex.org/W2033710484","https://openalex.org/W2041332546","https://openalex.org/W2107885267","https://openalex.org/W2110764733","https://openalex.org/W2111440402","https://openalex.org/W2115636263","https://openalex.org/W2134839354","https://openalex.org/W2149171183","https://openalex.org/W2155904486","https://openalex.org/W2159876113","https://openalex.org/W2167563976","https://openalex.org/W2197966456","https://openalex.org/W2560521323","https://openalex.org/W2610192316","https://openalex.org/W2769833683","https://openalex.org/W2883754639","https://openalex.org/W2903726692","https://openalex.org/W2949341804","https://openalex.org/W2953098847","https://openalex.org/W2963980515","https://openalex.org/W2981086596","https://openalex.org/W2981630388","https://openalex.org/W3037022800","https://openalex.org/W3101577715","https://openalex.org/W3158941343","https://openalex.org/W3203811892","https://openalex.org/W4214810323","https://openalex.org/W4230939871","https://openalex.org/W4250042789","https://openalex.org/W4255741144","https://openalex.org/W4307485600","https://openalex.org/W6602254124","https://openalex.org/W7027762633"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W2032875729","https://openalex.org/W3046185751","https://openalex.org/W2475308993","https://openalex.org/W2790526747","https://openalex.org/W2477273251","https://openalex.org/W2069575426","https://openalex.org/W3002212064","https://openalex.org/W90767720","https://openalex.org/W2349927089"],"abstract_inverted_index":{"Annotated":[0],"images":[1,100],"are":[2],"required":[3],"for":[4,16],"numerous":[5],"computer":[6],"vision":[7],"tasks;":[8],"however,":[9,35],"the":[10,55,59,70,73,82,85,103,125,136,139,141,145,156,174,183,186,189],"annotation":[11,44,86,96],"process":[12],"can":[13],"be":[14],"time-consuming":[15],"crowdworkers":[17],"and":[18,27,130,178,192],"experts.":[19],"Previous":[20],"work":[21],"has":[22],"investigated":[23],"novel":[24],"interaction":[25],"techniques":[26],"task":[28,146,191],"reformulation":[29],"to":[30,64,101,123],"speed":[31,79],"up":[32],"this":[33,51,90],"process;":[34],"there":[36,151],"remains":[37],"a":[38,94,170],"gap":[39],"in":[40,165,181],"optimizing":[41],"more":[42],"complex":[43],"tasks,":[45],"such":[46],"as":[47,169],"object":[48,74,110,175,187],"matching.":[49],"In":[50],"paper,":[52],"we":[53,92],"explore":[54],"impact":[56],"of":[57,61,84,105,111,127,172,185],"varying":[58],"amount":[60,104],"context":[62,71,106,128,154,167,194],"provided":[63],"annotators.":[65],"We":[66,113,132],"hypothesize":[67],"that":[68,98,134],"reducing":[69],"around":[72,108],"being":[75],"matched":[76],"will":[77],"improve":[78],"without":[80],"sacrificing":[81],"accuracy":[83,137],"task.":[87],"To":[88],"test":[89],"hypothesis,":[91],"developed":[93],"semi-automated":[95],"pipeline":[97],"pre-processes":[99],"adjust":[102],"shown":[107],"an":[109],"interest.":[112],"conducted":[114],"two":[115],"studies":[116],"(n":[117],"=":[118,121],"130,":[119],"n":[120],"10)":[122],"assess":[124],"effects":[126],"quantitatively":[129],"qualitatively.":[131],"found":[133],"while":[135],"remained":[138],"same,":[140],"time":[142],"spent":[143],"on":[144],"was":[147,152,195],"significantly":[148],"reduced":[149],"when":[150],"less":[153],"surrounding":[155],"object.":[157],"However,":[158],"our":[159],"qualitative":[160],"findings":[161],"revealed":[162],"multiple":[163],"scenarios":[164],"which":[166,182],"served":[168],"means":[171],"guiding":[173],"matching":[176,190],"task,":[177],"many":[179],"others":[180],"distinctiveness":[184],"guided":[188],"additional":[193],"not":[196],"needed.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
