{"id":"https://openalex.org/W2565284686","doi":"https://doi.org/10.1145/3009977.3009985","title":"Adaptive artistic stylization of images","display_name":"Adaptive artistic stylization of images","publication_year":2016,"publication_date":"2016-12-18","ids":{"openalex":"https://openalex.org/W2565284686","doi":"https://doi.org/10.1145/3009977.3009985","mag":"2565284686"},"language":"en","primary_location":{"id":"doi:10.1145/3009977.3009985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3009977.3009985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5104090219","display_name":"Ameya Deshpande","orcid":null},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ameya Deshpande","raw_affiliation_strings":["IIT Gandhinagar"],"affiliations":[{"raw_affiliation_string":"IIT Gandhinagar","institution_ids":["https://openalex.org/I27674431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070142969","display_name":"Shanmuganathan Raman","orcid":"https://orcid.org/0000-0003-2718-7891"},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shanmuganathan Raman","raw_affiliation_strings":["IIT Gandhinagar"],"affiliations":[{"raw_affiliation_string":"IIT Gandhinagar","institution_ids":["https://openalex.org/I27674431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104090219"],"corresponding_institution_ids":["https://openalex.org/I27674431"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59420679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9980000257492065,"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":0.8003166913986206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.747876763343811},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7312598824501038},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6406555771827698},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.598724901676178},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.578410267829895},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5538149476051331},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4991469383239746},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4771042466163635},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.46058884263038635},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4506802260875702},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44766613841056824},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44660666584968567},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42404162883758545},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41681960225105286},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.4130343198776245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29446277022361755},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27113163471221924},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.25211963057518005}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8003166913986206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747876763343811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7312598824501038},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6406555771827698},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.598724901676178},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.578410267829895},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5538149476051331},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4991469383239746},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4771042466163635},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.46058884263038635},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4506802260875702},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44766613841056824},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44660666584968567},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42404162883758545},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41681960225105286},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.4130343198776245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29446277022361755},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27113163471221924},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.25211963057518005},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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:10.1145/3009977.3009985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3009977.3009985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1490482062","https://openalex.org/W1491024554","https://openalex.org/W1907897951","https://openalex.org/W1976047850","https://openalex.org/W2000070422","https://openalex.org/W2037954058","https://openalex.org/W2050941451","https://openalex.org/W2052547643","https://openalex.org/W2058983849","https://openalex.org/W2075046998","https://openalex.org/W2081493228","https://openalex.org/W2086335247","https://openalex.org/W2099244020","https://openalex.org/W2100470808","https://openalex.org/W2103666701","https://openalex.org/W2108383263","https://openalex.org/W2109901529","https://openalex.org/W2122076510","https://openalex.org/W2127393810","https://openalex.org/W2129587342","https://openalex.org/W2141834896","https://openalex.org/W2145023731","https://openalex.org/W2146578165","https://openalex.org/W2150134853","https://openalex.org/W2153110463","https://openalex.org/W2157070558","https://openalex.org/W2160956336","https://openalex.org/W2163189457","https://openalex.org/W2211996548","https://openalex.org/W2236247158","https://openalex.org/W2240509208","https://openalex.org/W2288799730","https://openalex.org/W2425487401","https://openalex.org/W2997182471","https://openalex.org/W4239147634","https://openalex.org/W6674505857"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2050699221","https://openalex.org/W2155191322","https://openalex.org/W2148060698"],"abstract_inverted_index":{"In":[0],"this":[1,54,164],"work,":[2],"we":[3,80],"present":[4],"a":[5,58],"novel":[6],"non-photorealistic":[7],"rendering":[8],"method":[9,60,159],"which":[10,87],"produces":[11],"good":[12],"quality":[13],"stylization":[14],"results":[15,156],"for":[16,64],"color":[17],"images.":[18],"The":[19,94],"procedure":[20],"is":[21],"driven":[22],"by":[23,56,76,113],"saliency":[24,37,118,137,148],"measure":[25,119,138,149],"in":[26,105,117,120,139,150],"the":[27,30,49,62,71,77,99,106,115,121,124,135,146,151,161],"foreground":[28,107,122],"and":[29,39,91,108,123],"background":[31,109,125],"region.":[32],"We":[33,52],"start":[34],"with":[35,82,166],"generating":[36],"map":[38],"simple":[40],"thresholding":[41],"based":[42],"segmentation":[43],"to":[44,102,133],"get":[45],"rough":[46,73],"estimation":[47],"of":[48,96,98,130,157,163],"foreground-background":[50,65],"mask.":[51],"improve":[53,134],"mask":[55,78],"using":[57],"scribble-based":[59],"where":[61],"scribbles":[63],"regions":[66,110],"are":[67,111],"automatically":[68],"generated":[69],"from":[70],"previous":[72],"estimation.":[74],"Followed":[75],"generation,":[79],"proceed":[81],"an":[83],"iterative":[84],"abstraction":[85,100],"process":[86,101],"involves":[88],"edge-preserving":[89],"blurring":[90],"edge":[92],"detection.":[93],"number":[95,129],"iterations":[97,131],"be":[103],"performed":[104],"decided":[112],"tracking":[114],"changes":[116],"regions.":[126],"Performing":[127],"unequal":[128],"helps":[132],"average":[136,147],"more":[140],"salient":[141],"region":[142,153],"(foreground)":[143],"while":[144],"decreasing":[145],"non-salient":[152],"(background).":[154],"Implementation":[155],"our":[158],"shows":[160],"merits":[162],"approach":[165],"other":[167],"competing":[168],"methods.":[169]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
