{"id":"https://openalex.org/W2253940211","doi":"https://doi.org/10.1109/icip.2016.7533087","title":"Screen content image segmentation using sparse decomposition and total variation minimization","display_name":"Screen content image segmentation using sparse decomposition and total variation minimization","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2253940211","doi":"https://doi.org/10.1109/icip.2016.7533087","mag":"2253940211"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5017101039","display_name":"Shervin Minaee","orcid":"https://orcid.org/0000-0001-6689-9221"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Shervin Minaee","raw_affiliation_strings":["Department of Information Engineering, Via di Santa Marta 3, Firenze, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Via di Santa Marta 3, Firenze, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100319045","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0003-4207-5273"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Wang","raw_affiliation_strings":["Department of Computer Science, Corso Svizzera 185, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Corso Svizzera 185, Torino, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017101039"],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":null,"apc_paid":null,"fwci":1.503,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87653347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"132","issue":null,"first_page":"3882","last_page":"3886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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":0.6605588793754578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6193143129348755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5883198976516724},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5730303525924683},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5487138628959656},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5228062868118286},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4964035153388977},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4731004238128662},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46788138151168823},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.459855854511261},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.42433860898017883},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.41298508644104004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3912174105644226}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6605588793754578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6193143129348755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5883198976516724},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5730303525924683},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5487138628959656},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5228062868118286},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4964035153388977},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4731004238128662},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46788138151168823},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.459855854511261},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.42433860898017883},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.41298508644104004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3912174105644226},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1560910787","https://openalex.org/W1866504676","https://openalex.org/W1925418734","https://openalex.org/W1936664259","https://openalex.org/W1972715665","https://openalex.org/W1989299554","https://openalex.org/W2006262045","https://openalex.org/W2006672775","https://openalex.org/W2011181254","https://openalex.org/W2021948210","https://openalex.org/W2073640678","https://openalex.org/W2104775297","https://openalex.org/W2114122776","https://openalex.org/W2121058967","https://openalex.org/W2129812935","https://openalex.org/W2133140216","https://openalex.org/W2134378185","https://openalex.org/W2141608131","https://openalex.org/W2154996879","https://openalex.org/W2164278908","https://openalex.org/W2172873798","https://openalex.org/W2289276607","https://openalex.org/W2311654837","https://openalex.org/W2512271051","https://openalex.org/W2962682625","https://openalex.org/W2964291336","https://openalex.org/W3217577904","https://openalex.org/W4292363360","https://openalex.org/W6681583683","https://openalex.org/W6725571765"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W3033981387","https://openalex.org/W2495078643","https://openalex.org/W1605636162","https://openalex.org/W2344001031","https://openalex.org/W3010678772","https://openalex.org/W2612397051","https://openalex.org/W3209466624","https://openalex.org/W2053223715","https://openalex.org/W2559187321"],"abstract_inverted_index":{"Sparse":[0],"decomposition":[1,39,105],"has":[2,125],"been":[3,126],"widely":[4],"used":[5],"for":[6,25,139],"different":[7],"applications,":[8],"such":[9],"as":[10],"source":[11],"separation,":[12],"image":[13,15,29,59],"classification,":[14],"denoising":[16],"and":[17,32,35,40,63,82,98,118,143,165,169],"more.":[18],"This":[19,123],"paper":[20],"presents":[21],"a":[22,68,72,88,103,109,129],"new":[23],"algorithm":[24,124],"segmentation":[26,162],"of":[27,57,71,120,131],"an":[28],"into":[30],"background":[31,55,97],"foreground":[33,80,99,121],"text":[34,81],"graphics":[36,83],"using":[37,102],"sparse":[38,89,104],"total":[41],"variation":[42],"minimization.":[43],"The":[44,96],"proposed":[45],"method":[46],"is":[47,60,144],"designed":[48],"based":[49,161],"on":[50,92,128],"the":[51,54,58,79,93,116],"assumption":[52],"that":[53],"part":[56],"smoothly":[61,74],"varying":[62,75],"can":[64,84],"be":[65,85],"represented":[66],"by":[67],"linear":[69],"combination":[70],"few":[73,110],"basis":[76],"functions,":[77],"while":[78],"modeled":[86],"with":[87,108],"component":[90],"overlaid":[91],"smooth":[94],"background.":[95],"are":[100],"separated":[101],"framework":[106],"regularized":[107],"suitable":[111],"regularization":[112],"terms":[113],"which":[114],"promotes":[115],"sparsity":[117],"connectivity":[119],"pixels.":[122],"tested":[127],"dataset":[130],"images":[132],"extracted":[133],"from":[134],"HEVC":[135],"standard":[136],"test":[137],"sequences":[138],"screen":[140],"content":[141],"coding,":[142],"shown":[145],"to":[146],"have":[147],"superior":[148],"performance":[149],"over":[150],"some":[151],"prior":[152],"methods,":[153],"including":[154],"least":[155],"absolute":[156],"deviation":[157],"fitting,":[158],"k-means":[159],"clustering":[160],"in":[163],"DjVu":[164],"shape":[166],"primitive":[167],"extraction":[168],"coding":[170],"(SPEC)":[171],"algorithm.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
