{"id":"https://openalex.org/W1981607280","doi":"https://doi.org/10.1145/1991996.1992035","title":"Saliency moments for image categorization","display_name":"Saliency moments for image categorization","publication_year":2011,"publication_date":"2011-04-18","ids":{"openalex":"https://openalex.org/W1981607280","doi":"https://doi.org/10.1145/1991996.1992035","mag":"1981607280"},"language":"en","primary_location":{"id":"doi:10.1145/1991996.1992035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","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/A5007049707","display_name":"\u041c\u0438\u0440\u0438\u0430\u043c \u0420\u0435\u0434\u0438","orcid":"https://orcid.org/0000-0002-0581-0251"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Miriam Redi","raw_affiliation_strings":["EURECOM, Sophia Antipolis, route des cr\u00eates, Sophia-Antipolis"],"affiliations":[{"raw_affiliation_string":"EURECOM, Sophia Antipolis, route des cr\u00eates, Sophia-Antipolis","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106429998","display_name":"Bernard M\u00e9rialdo","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bernard Merialdo","raw_affiliation_strings":["EURECOM, Sophia Antipolis, route des cr\u00eates, Sophia-Antipolis"],"affiliations":[{"raw_affiliation_string":"EURECOM, Sophia Antipolis, route des cr\u00eates, Sophia-Antipolis","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007049707"],"corresponding_institution_ids":["https://openalex.org/I1902872"],"apc_list":null,"apc_paid":null,"fwci":4.447,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95344522,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8234288692474365},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7087788581848145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6905511617660522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6845925450325012},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6050907373428345},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5960779786109924},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5485145449638367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5430402755737305},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.5253909230232239},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5219961404800415},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5041459798812866},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48236769437789917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47231265902519226},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.42481809854507446},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4212369918823242},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.414507657289505},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.3914111852645874}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8234288692474365},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7087788581848145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6905511617660522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845925450325012},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6050907373428345},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5960779786109924},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5485145449638367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5430402755737305},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.5253909230232239},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5219961404800415},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5041459798812866},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48236769437789917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47231265902519226},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.42481809854507446},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4212369918823242},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.414507657289505},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.3914111852645874},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1991996.1992035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.8189","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.8189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eurecom.fr/en/publication/3360/download/mm-publi-3360.pdf","raw_type":"text"},{"id":"pmh:oai:fr.eurecom:3360","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/3360","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICMR 2011, 1st ACM International Conference on Multimedia Retrieval, April 17-20, 2011, Trento, Italy ","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309398","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W123418247","https://openalex.org/W206620322","https://openalex.org/W1532257412","https://openalex.org/W1566135517","https://openalex.org/W1583399942","https://openalex.org/W1625255723","https://openalex.org/W1664751303","https://openalex.org/W1677409904","https://openalex.org/W1914401667","https://openalex.org/W1917380066","https://openalex.org/W1966587288","https://openalex.org/W1969294188","https://openalex.org/W1976229911","https://openalex.org/W2012592962","https://openalex.org/W2052690296","https://openalex.org/W2062903088","https://openalex.org/W2066380143","https://openalex.org/W2094794667","https://openalex.org/W2100470808","https://openalex.org/W2103215849","https://openalex.org/W2104713750","https://openalex.org/W2106848651","https://openalex.org/W2108783605","https://openalex.org/W2115763357","https://openalex.org/W2127807804","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2138874178","https://openalex.org/W2144982973","https://openalex.org/W2146103513","https://openalex.org/W2151103935","https://openalex.org/W2152161678","https://openalex.org/W2162915993","https://openalex.org/W2166049352","https://openalex.org/W2171864153","https://openalex.org/W2177274842","https://openalex.org/W6605001058","https://openalex.org/W6636494156","https://openalex.org/W6640142374","https://openalex.org/W6642652525","https://openalex.org/W6677350515","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2158102958","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W1995462736","https://openalex.org/W2028757524","https://openalex.org/W2947282851","https://openalex.org/W3043037362","https://openalex.org/W2499029474","https://openalex.org/W4239790437","https://openalex.org/W2776636962"],"abstract_inverted_index":{"In":[0],"this":[1,71],"paper":[2],"we":[3,43,94,124],"present":[4],"Saliency":[5],"Moments,":[6,105],"a":[7,45,63,88,121],"new,":[8],"holistic":[9],"descriptor":[10],"for":[11,87,126],"image":[12,30,66,75],"recognition":[13],"inspired":[14],"by":[15],"two":[16],"biological":[17],"vision":[18],"principles:":[19],"the":[20,24,40,55,78,111,118,127],"gist":[21],"perception":[22],"and":[23,59,84,108],"selective":[25],"visual":[26,41],"attention.":[27],"While":[28],"traditional":[29,79],"features":[31,81,113],"extract":[32],"either":[33],"local":[34],"or":[35],"global":[36,80],"discriminative":[37],"properties":[38],"from":[39],"content,":[42],"use":[44],"hybrid":[46],"approach":[47],"that":[48,70],"exploits":[49],"some":[50],"coarsely":[51],"localized":[52],"information,":[53,116],"i.e.":[54],"salient":[56],"regions":[57],"shape":[58],"contours,":[60],"to":[61],"build":[62,125],"global,":[64],"low-dimensional":[65],"signature.":[67],"Results":[68],"show":[69,95],"new":[72],"type":[73],"of":[74,90,120],"description":[76],"outperforms":[77],"on":[82],"scene":[83],"object":[85],"categorization,":[86],"variety":[89],"challenging":[91],"datasets.":[92],"Moreover,":[93],"that,":[96],"when":[97],"combined":[98],"with":[99],"other":[100],"existing":[101],"descriptors":[102],"(SIFT,":[103],"Color":[104],"Wavelet":[106],"Feature":[107],"Edge":[109],"Histogram),":[110],"saliency-based":[112],"provide":[114],"complementary":[115],"improving":[117],"precision":[119],"retrieval":[122],"system":[123],"TRECVID":[128],"2010.":[129]},"counts_by_year":[{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
