{"id":"https://openalex.org/W1990802120","doi":"https://doi.org/10.1109/icip.2014.7025605","title":"Exploiting disparity information for stereo image retrieval","display_name":"Exploiting disparity information for stereo image retrieval","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1990802120","doi":"https://doi.org/10.1109/icip.2014.7025605","mag":"1990802120"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5043673982","display_name":"A. Chaker","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"A. Chaker","raw_affiliation_strings":["Cit\u00e9 Technologique des Communications, SUP'COM, Carthage Univ., Tunisia","COSIM Lab., SUP'COM, Carthage Univ., Cit\u00e9 Technologique des Communications, 2080, Tunisia"],"affiliations":[{"raw_affiliation_string":"Cit\u00e9 Technologique des Communications, SUP'COM, Carthage Univ., Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"COSIM Lab., SUP'COM, Carthage Univ., Cit\u00e9 Technologique des Communications, 2080, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051468325","display_name":"Mounir Kaaniche","orcid":"https://orcid.org/0000-0003-1874-3243"},"institutions":[{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Kaaniche","raw_affiliation_strings":["L2TI, Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, France","Institut Galil\u00e9e, L2TI, Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, France#TAB#"],"affiliations":[{"raw_affiliation_string":"L2TI, Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, France","institution_ids":["https://openalex.org/I4210091437","https://openalex.org/I4210091279","https://openalex.org/I204730241"]},{"raw_affiliation_string":"Institut Galil\u00e9e, L2TI, Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, France#TAB#","institution_ids":["https://openalex.org/I4210091437","https://openalex.org/I4210091279","https://openalex.org/I204730241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090426136","display_name":"Amel Benazza\u2010Benyahia","orcid":"https://orcid.org/0000-0002-4562-2757"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"A. Benazza-Benyahia","raw_affiliation_strings":["Cit\u00e9 Technologique des Communications, SUP'COM, Carthage Univ., Tunisia","COSIM Lab., SUP'COM, Carthage Univ., Cit\u00e9 Technologique des Communications, 2080, Tunisia"],"affiliations":[{"raw_affiliation_string":"Cit\u00e9 Technologique des Communications, SUP'COM, Carthage Univ., Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"COSIM Lab., SUP'COM, Carthage Univ., Cit\u00e9 Technologique des Communications, 2080, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043673982"],"corresponding_institution_ids":["https://openalex.org/I179097149"],"apc_list":null,"apc_paid":null,"fwci":0.7316,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7425701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5875","issue":null,"first_page":"2993","last_page":"2997"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.9979000091552734,"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":0.7623627185821533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7417795658111572},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7291547060012817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7008606195449829},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6599187850952148},{"id":"https://openalex.org/keywords/stereo-image","display_name":"Stereo image","score":0.5608434677124023},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5361385941505432},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.5136157870292664},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4665484130382538},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4406065344810486},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4278455972671509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623627185821533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7417795658111572},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7291547060012817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7008606195449829},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6599187850952148},{"id":"https://openalex.org/C2987632653","wikidata":"https://www.wikidata.org/wiki/Q7611220","display_name":"Stereo image","level":3,"score":0.5608434677124023},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5361385941505432},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.5136157870292664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4665484130382538},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4406065344810486},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4278455972671509},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1557107367","https://openalex.org/W2009893166","https://openalex.org/W2030265202","https://openalex.org/W2059779065","https://openalex.org/W2066449383","https://openalex.org/W2074592858","https://openalex.org/W2093465727","https://openalex.org/W2113816497","https://openalex.org/W2117188745","https://openalex.org/W2121757834","https://openalex.org/W2124589681","https://openalex.org/W2127918048","https://openalex.org/W2130660124","https://openalex.org/W2136268905","https://openalex.org/W2137246712","https://openalex.org/W2143516773","https://openalex.org/W2149979157","https://openalex.org/W2156933784","https://openalex.org/W2163534628"],"related_works":["https://openalex.org/W4306194383","https://openalex.org/W4306249900","https://openalex.org/W4304776306","https://openalex.org/W4226053486","https://openalex.org/W1992486622","https://openalex.org/W307265996","https://openalex.org/W2391245565","https://openalex.org/W1975666034","https://openalex.org/W2015621792","https://openalex.org/W2006463403"],"abstract_inverted_index":{"The":[0,71,94],"great":[1],"interest":[2],"of":[3,14,59,127],"stereo":[4,38,128],"images":[5],"in":[6],"several":[7],"applications":[8],"has":[9],"led":[10],"to":[11,37,122],"the":[12,56,60,78,85,91,104,110,124],"proliferation":[13],"huge":[15],"and":[16,90,106,109],"ever":[17],"growing":[18],"image":[19,89],"databases.":[20],"Therefore,":[21],"there":[22],"is":[23],"an":[24,28],"urgent":[25],"demand":[26],"for":[27],"effective":[29],"Content":[30],"Based":[31],"Image":[32,62],"Retrieval":[33],"(CBIR)":[34],"system":[35],"devoted":[36],"images.":[39,129],"To":[40],"meet":[41],"such":[42],"a":[43],"demand,":[44],"this":[45],"paper":[46],"proposes":[47],"new":[48],"wavelet-based":[49],"retrieval":[50,125],"approaches":[51],"that":[52,116],"exploit":[53],"not":[54],"only":[55],"visual":[57],"contents":[58],"Stereo":[61],"(SI)":[63],"pair":[64],"but":[65],"also":[66],"its":[67],"related":[68],"disparity":[69,79,86,111,118],"field.":[70],"first":[72],"approach":[73],"takes":[74],"into":[75],"account":[76],"implicitly":[77],"information":[80,119],"by":[81],"computing":[82],"features":[83,101],"from":[84,103],"compensated":[87],"left":[88,105],"right":[92,107],"image.":[93],"second":[95],"one":[96],"aims":[97],"at":[98],"extracting":[99],"relevant":[100],"directly":[102],"views,":[108],"map.":[112],"Experimental":[113],"results":[114],"indicate":[115],"adding":[117],"allows":[120],"us":[121],"improve":[123],"performances":[126]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
