{"id":"https://openalex.org/W1981574961","doi":"https://doi.org/10.1145/1282280.1282306","title":"Inducing a perceptual relevance shape classifier","display_name":"Inducing a perceptual relevance shape classifier","publication_year":2007,"publication_date":"2007-07-09","ids":{"openalex":"https://openalex.org/W1981574961","doi":"https://doi.org/10.1145/1282280.1282306","mag":"1981574961"},"language":"en","primary_location":{"id":"doi:10.1145/1282280.1282306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024373546","display_name":"Joanna Hodge","orcid":"https://orcid.org/0000-0002-2469-0224"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victoria J. Hodge","raw_affiliation_strings":["University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042724616","display_name":"John Eakins","orcid":"https://orcid.org/0000-0001-9504-3908"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Eakins","raw_affiliation_strings":["University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109333185","display_name":"J. Austin","orcid":null},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Austin","raw_affiliation_strings":["University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":0.5256,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56716754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9918000102043152,"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":0.9897000193595886,"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":0.8168787956237793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7193308472633362},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6844401359558105},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6537044048309326},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6499234437942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6374589204788208},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5703327655792236},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5593664646148682},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5465797781944275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4888703227043152},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.44739121198654175}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8168787956237793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193308472633362},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6844401359558105},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6537044048309326},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6499234437942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6374589204788208},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5703327655792236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5593664646148682},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5465797781944275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4888703227043152},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.44739121198654175},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1282280.1282306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47999998927116394},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W155971804","https://openalex.org/W1485103000","https://openalex.org/W1518573843","https://openalex.org/W1525322683","https://openalex.org/W1652505363","https://openalex.org/W1748744376","https://openalex.org/W1912123407","https://openalex.org/W1974937347","https://openalex.org/W1977894665","https://openalex.org/W2004594863","https://openalex.org/W2060565253","https://openalex.org/W2076640017","https://openalex.org/W2080478729","https://openalex.org/W2102397532","https://openalex.org/W2123504579","https://openalex.org/W2123891771","https://openalex.org/W2131172512","https://openalex.org/W2131806657","https://openalex.org/W2135891024","https://openalex.org/W2143877328","https://openalex.org/W2144679084","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2159498975","https://openalex.org/W2466512847","https://openalex.org/W2966207845","https://openalex.org/W3207342693","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2090763504","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W148178222","https://openalex.org/W2394466068","https://openalex.org/W2113666009","https://openalex.org/W1987683558"],"abstract_inverted_index":{"In":[0],"this":[1,81],"paper,":[2],"we":[3,79],"develop":[4],"a":[5,44,67,88,117,125],"system":[6],"to":[7,23,86,90,128],"classify":[8,91],"the":[9,51,102,105],"outputs":[10],"of":[11,39,46,53,70,84,150],"image":[12,74,97,106],"segmentation":[13,98],"algorithms":[14],"as":[15],"perceptually":[16,19],"relevant":[17],"or":[18],"irrelevant":[20],"with":[21,146],"respect":[22],"human":[24,36,59],"perception.":[25],"The":[26,61,131],"work":[27,62],"is":[28,66,121],"aimed":[29],"at":[30],"figurative":[31],"images.":[32],"We":[33,114],"previously":[34],"investigated":[35],"visual":[37],"perception":[38],"trademark":[40,54],"images":[41,55],"and":[42,56,123,137],"established":[43],"body":[45],"ground":[47],"truth":[48],"data":[49],"in":[50],"form":[52],"their":[57],"respective":[58],"segmentations.":[60],"indicated":[63],"that":[64,75,101,108,116],"there":[65],"core":[68,82],"set":[69,83],"segmentations":[71,85],"for":[72,140],"each":[73],"people":[76],"perceive.":[77],"Here":[78],"use":[80],"train":[87],"classifier":[89,120],"closed":[92],"shapes":[93],"output":[94],"from":[95],"an":[96,147],"algorithm":[99],"so":[100],"method":[103],"returns":[104],"segments":[107],"match":[109],"those":[110],"produced":[111],"by":[112],"people.":[113],"demonstrate":[115],"perceptual":[118],"relevance":[119],"attainable":[122],"identify":[124],"good":[126],"methodology":[127],"achieve":[129],"this.":[130],"paper":[132],"compares":[133],"MLP,":[134],"SVM,":[135],"Bayes":[136],"regression":[138],"classifiers":[139],"classifying":[141],"shapes.":[142],"MLPs":[143],"perform":[144],"best":[145],"overall":[148],"accuracy":[149],"96.4%.":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
