{"id":"https://openalex.org/W2775934435","doi":"https://doi.org/10.1109/gcce.2017.8229262","title":"Aesthetic quality assessment of images via Supervised Locality Preserving CCA","display_name":"Aesthetic quality assessment of images via Supervised Locality Preserving CCA","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2775934435","doi":"https://doi.org/10.1109/gcce.2017.8229262","mag":"2775934435"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2017.8229262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2017.8229262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 6th Global Conference on Consumer Electronics (GCCE)","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/A5110625942","display_name":"Misaki Kanai","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Misaki Kanai","raw_affiliation_strings":["School of Engineering, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002757875","display_name":"Ren Togo","orcid":"https://orcid.org/0000-0002-4474-3995"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ren Togo","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9970999956130981,"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":0.9970999956130981,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9950000047683716,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.8492509126663208},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.7234907150268555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692347526550293},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6817319393157959},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.61336749792099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6064015030860901},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.4697425961494446},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.46397003531455994},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42569592595100403},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.416610985994339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38459542393684387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3654082715511322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3346068561077118},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.20288193225860596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1993536651134491},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09320160746574402},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.08951985836029053},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07421153783798218}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.8492509126663208},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.7234907150268555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692347526550293},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6817319393157959},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.61336749792099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6064015030860901},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.4697425961494446},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.46397003531455994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42569592595100403},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.416610985994339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38459542393684387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3654082715511322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3346068561077118},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.20288193225860596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1993536651134491},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09320160746574402},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.08951985836029053},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07421153783798218},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2017.8229262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2017.8229262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 6th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2025341678","https://openalex.org/W2047028564","https://openalex.org/W2048835603","https://openalex.org/W2078807908","https://openalex.org/W2078810896","https://openalex.org/W2083095455","https://openalex.org/W2104915826","https://openalex.org/W2296168388","https://openalex.org/W2417288846","https://openalex.org/W4237723258","https://openalex.org/W4255455317","https://openalex.org/W6675445837","https://openalex.org/W6717040974"],"related_works":["https://openalex.org/W1565185441","https://openalex.org/W1968846550","https://openalex.org/W302711736","https://openalex.org/W2466958844","https://openalex.org/W2804751933","https://openalex.org/W2245293081","https://openalex.org/W1973829424","https://openalex.org/W3209787365","https://openalex.org/W1963681152","https://openalex.org/W4287019296"],"abstract_inverted_index":{"Aesthetic":[0],"quality":[1,18,44,87],"assessment":[2,19,45,88],"plays":[3],"an":[4,42],"important":[5],"role":[6],"in":[7],"how":[8],"people":[9],"organize":[10],"large":[11],"image":[12,37],"collections.":[13],"Many":[14],"studies":[15],"on":[16,22],"aesthetic":[17,43,86],"are":[20],"based":[21],"design":[23],"of":[24],"hand-crafted":[25],"features":[26,67],"without":[27],"considering":[28],"whether":[29],"attributes":[30,72],"conveyed":[31],"by":[32,77],"images":[33],"can":[34],"actually":[35],"affect":[36],"aesthetics.":[38],"This":[39],"paper":[40],"presents":[41],"method":[46,54],"which":[47,68],"uses":[48],"new":[49,66],"visual":[50,74],"features.":[51,75],"The":[52],"proposed":[53],"utilizes":[55],"Supervised":[56],"Locality":[57],"Preserving":[58],"Canonical":[59],"Correlation":[60],"Analysis":[61],"(SLPCCA)":[62],"to":[63,81],"derive":[64],"the":[65,82],"maximize":[69],"correlation":[70],"between":[71],"and":[73],"Finally,":[76],"applying":[78],"ridge":[79],"regression":[80],"SLPCCA-based":[83],"features,":[84],"successful":[85],"is":[89],"realized.":[90]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
