{"id":"https://openalex.org/W2044477653","doi":"https://doi.org/10.1109/vcip.2011.6115909","title":"Image matting based on mutual information","display_name":"Image matting based on mutual information","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2044477653","doi":"https://doi.org/10.1109/vcip.2011.6115909","mag":"2044477653"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2011.6115909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6115909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","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/A5004092065","display_name":"Xiaozhou Zhou","orcid":"https://orcid.org/0000-0003-0370-2369"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaozhou Zhou","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada","Department of Computing Science, University of Alberta, Edmonton, Canada T6G-2E8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada T6G-2E8","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057616484","display_name":"Pierre Boulanger","orcid":"https://orcid.org/0000-0002-4219-1699"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pierre Boulanger","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada","Department of Computing Science, University of Alberta, Edmonton, Canada T6G-2E8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada T6G-2E8","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11058644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.8379902243614197},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.7285565137863159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7258977890014648},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7172573804855347},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6661589741706848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186634302139282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6036922931671143},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5548582077026367},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5424675345420837},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5336229205131531},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5287653207778931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4852259159088135},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4601728022098541},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.4146233797073364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.282848060131073},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.23583531379699707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09861257672309875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08248993754386902}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.8379902243614197},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.7285565137863159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7258977890014648},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7172573804855347},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6661589741706848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186634302139282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6036922931671143},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5548582077026367},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5424675345420837},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5336229205131531},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5287653207778931},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4852259159088135},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4601728022098541},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.4146233797073364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.282848060131073},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.23583531379699707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09861257672309875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08248993754386902},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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:10.1109/vcip.2011.6115909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6115909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1560942455","https://openalex.org/W1978508694","https://openalex.org/W1995875735","https://openalex.org/W2041404167","https://openalex.org/W2103917701","https://openalex.org/W2124351162","https://openalex.org/W2149860324","https://openalex.org/W2157887643","https://openalex.org/W2164117311","https://openalex.org/W2167897892","https://openalex.org/W2169040970","https://openalex.org/W2293703294","https://openalex.org/W2294819727","https://openalex.org/W4234235766","https://openalex.org/W4248002887","https://openalex.org/W4248635988","https://openalex.org/W6633406190","https://openalex.org/W6675705777","https://openalex.org/W6684007667"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W3174028392","https://openalex.org/W842936808","https://openalex.org/W2000517284","https://openalex.org/W2136503713","https://openalex.org/W2365318811","https://openalex.org/W2375330620","https://openalex.org/W2913710507","https://openalex.org/W2363755581"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,16],"novel":[6],"framework":[7],"to":[8,73,75,106],"solve":[9],"the":[10,21,39,52,65,77,80,84,91],"image":[11,18,41,44,69,82],"matting":[12,70],"problem.":[13],"We":[14],"design":[15],"temporary":[17,40,85],"based":[19],"on":[20],"estimated":[22],"foreground":[23],"and":[24,42,83,99],"background":[25],"colors":[26],"for":[27],"unknown":[28],"pixels":[29],"as":[30,32,47],"well":[31],"an":[33,48],"initial":[34],"matte.":[35],"The":[36,57,87],"similarity":[37,78],"of":[38,79],"original":[43,81],"is":[45,61,71,101],"modeled":[46],"energy":[49,66],"function":[50],"in":[51],"Markov":[53],"Random":[54],"Field":[55],"(MRF).":[56],"global":[58],"optimized":[59],"matte":[60],"obtained":[62],"by":[63],"minimizing":[64],"function.":[67],"Therefore,":[68],"converted":[72],"how":[74],"maximize":[76],"image.":[86],"experiments":[88],"demonstrate":[89],"that":[90],"proposed":[92],"method":[93],"could":[94],"produce":[95],"high":[96],"quality":[97],"mattes":[98],"it":[100],"also":[102],"more":[103],"effective":[104],"compared":[105],"other":[107],"top":[108],"ranking":[109],"methods.":[110]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
