{"id":"https://openalex.org/W1922292441","doi":"https://doi.org/10.1109/cvpr.2015.7298853","title":"SOM: Semantic obviousness metric for image quality assessment","display_name":"SOM: Semantic obviousness metric for image quality assessment","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1922292441","doi":"https://doi.org/10.1109/cvpr.2015.7298853","mag":"1922292441"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5115588577","display_name":"Peng Zhang","orcid":"https://orcid.org/0009-0004-7146-1805"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China","Department of Electronic Engineering & Information Science, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Electronic Engineering & Information Science, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wengang Zhou","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China","Department of Electronic Engineering & Information Science, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Electronic Engineering & Information Science, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056316227","display_name":"Lei Wu","orcid":"https://orcid.org/0000-0002-9763-7010"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China","Department of Electronic Engineering & Information Science, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Electronic Engineering & Information Science, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Li","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China","Department of Electronic Engineering & Information Science, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Electronic Engineering & Information Science, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115588577"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":6.5513,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.97730967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2394","last_page":"2402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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":0.9965999722480774,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366111874580383},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6719086170196533},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6634538769721985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6184717416763306},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6161507368087769},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5833255052566528},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5429726243019104},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4671902656555176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4633261561393738},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38606974482536316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3554859757423401},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34667542576789856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15599286556243896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366111874580383},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6719086170196533},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6634538769721985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6184717416763306},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6161507368087769},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5833255052566528},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5429726243019104},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4671902656555176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4633261561393738},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38606974482536316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3554859757423401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34667542576789856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15599286556243896},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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":34,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1564676837","https://openalex.org/W1964215855","https://openalex.org/W1964859077","https://openalex.org/W1981572319","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W2009272644","https://openalex.org/W2009469814","https://openalex.org/W2010181071","https://openalex.org/W2035784046","https://openalex.org/W2039219750","https://openalex.org/W2051596736","https://openalex.org/W2066624635","https://openalex.org/W2102591820","https://openalex.org/W2118858186","https://openalex.org/W2121809595","https://openalex.org/W2128715914","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142841657","https://openalex.org/W2142884912","https://openalex.org/W2149600487","https://openalex.org/W2162692770","https://openalex.org/W2163370434","https://openalex.org/W2171349048","https://openalex.org/W2324971623","https://openalex.org/W3182211633","https://openalex.org/W6647225686","https://openalex.org/W6675423221","https://openalex.org/W6677919164","https://openalex.org/W6681066893","https://openalex.org/W6701249984"],"related_works":["https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2080152487","https://openalex.org/W2239445980","https://openalex.org/W2995553446","https://openalex.org/W2120455979","https://openalex.org/W4200527723","https://openalex.org/W2075445622"],"abstract_inverted_index":{"Image":[0],"quality":[1,12,30,53,84,153],"assessment":[2,85],"(IQA)":[3,86],"tries":[4],"to":[5,67,113,121,128,139,170,186,189,196],"estimate":[6],"human":[7,98],"perception":[8,99],"based":[9,88],"image":[10,29,37,52,83,101,135,152],"visual":[11],"in":[13,158],"an":[14,72,117],"objective":[15],"manner.":[16],"Existing":[17],"approaches":[18,49],"target":[19],"this":[20,75],"problem":[21],"with":[22,165],"or":[23,38],"without":[24],"reference":[25,36],"images.":[26],"For":[27],"no-reference":[28,81],"assessment,":[31],"there":[32],"is":[33,184],"no":[34],"given":[35],"any":[39],"knowledge":[40],"of":[41,45,71,100,116,125,133,147,209],"the":[42,46,51,130,134,137,144,179,190,197,206],"distortion":[43],"type":[44],"image.":[47,73,118],"Previous":[48],"measure":[50,129],"from":[54],"signal":[55],"level":[56],"rather":[57],"than":[58],"semantic":[59,90,108,131],"analysis.":[60],"They":[61],"typically":[62],"depend":[63],"on":[64,89,178],"various":[65],"features":[66,148],"represent":[68],"local":[69,141],"characteristic":[70],"In":[74],"paper":[76],"we":[77,106],"propose":[78,120],"a":[79,111],"new":[80],"(NR)":[82],"framework":[87],"obviousness.":[91],"We":[92,119,174],"discover":[93,140],"that":[94],"semantic-level":[95],"factors":[96],"affect":[97],"quality.":[102],"With":[103],"such":[104],"observation,":[105],"explore":[107],"obviousness":[109,132],"as":[110],"metric":[112],"perceive":[114],"objects":[115],"extract":[122],"two":[123,145],"types":[124],"features,":[126],"one":[127],"and":[136,194],"other":[138],"characteristic.":[142],"Then":[143],"kinds":[146],"are":[149],"combined":[150],"for":[151],"estimation.":[154],"The":[155],"principles":[156],"proposed":[157],"our":[159,176,210],"approach":[160,177,183],"can":[161],"also":[162],"be":[163,187],"incorporated":[164],"many":[166],"existing":[167,191],"IQA":[168,200],"algorithms":[169,193],"boost":[171],"their":[172],"performance.":[173],"evaluate":[175],"LIVE":[180],"dataset.":[181],"Our":[182],"demonstrated":[185],"superior":[188],"NR-IQA":[192],"comparable":[195],"state-of-the-art":[198],"full-reference":[199],"(FR-IQA)":[201],"methods.":[202],"Cross-dataset":[203],"experiments":[204],"show":[205],"generalization":[207],"ability":[208],"approach.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}