{"id":"https://openalex.org/W2122186245","doi":"https://doi.org/10.1109/jstsp.2011.2165273","title":"Exploiting Non-Local Correlation via Signal-Dependent Transform (SDT)","display_name":"Exploiting Non-Local Correlation via Signal-Dependent Transform (SDT)","publication_year":2011,"publication_date":"2011-08-25","ids":{"openalex":"https://openalex.org/W2122186245","doi":"https://doi.org/10.1109/jstsp.2011.2165273","mag":"2122186245"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2011.2165273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2011.2165273","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-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/A5051469345","display_name":"Cuiling Lan","orcid":"https://orcid.org/0000-0001-9145-9957"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cuiling Lan","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xian, China","Sch. of Electron. Eng., Xidian Univ., Xi'an, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Xidian Univ., Xi'an, China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727196","display_name":"Jizheng Xu","orcid":"https://orcid.org/0009-0005-4563-6787"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizheng Xu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xian, China","Sch. of Electron. Eng., Xidian Univ., Xi'an, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Xidian Univ., Xi'an, China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029102289","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3989-0509"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051469345"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.0464,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80914189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"5","issue":"7","first_page":"1298","last_page":"1308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.7532506585121155},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6574548482894897},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.535378098487854},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5191999673843384},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5097264647483826},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.489317387342453},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4857052266597748},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.47160157561302185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4431094527244568},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4278848171234131},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42364269495010376},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4115754961967468},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36481714248657227},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.28608646988868713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2556511461734772},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21454933285713196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1713346540927887},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12088567018508911},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06328189373016357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532506585121155},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6574548482894897},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.535378098487854},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5191999673843384},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5097264647483826},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.489317387342453},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4857052266597748},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.47160157561302185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4431094527244568},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4278848171234131},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42364269495010376},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4115754961967468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36481714248657227},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.28608646988868713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2556511461734772},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21454933285713196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1713346540927887},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12088567018508911},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06328189373016357},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2011.2165273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2011.2165273","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.651.2617","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.2617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/people/fengwu/sdt_stsp_11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1980905346","https://openalex.org/W2000094687","https://openalex.org/W2050174246","https://openalex.org/W2056370875","https://openalex.org/W2063395512","https://openalex.org/W2068623560","https://openalex.org/W2086749127","https://openalex.org/W2093212899","https://openalex.org/W2097073572","https://openalex.org/W2101700394","https://openalex.org/W2107207662","https://openalex.org/W2109839336","https://openalex.org/W2114398647","https://openalex.org/W2119201697","https://openalex.org/W2126271894","https://openalex.org/W2127045331","https://openalex.org/W2134061869","https://openalex.org/W2145251738","https://openalex.org/W2158138391","https://openalex.org/W2161554322","https://openalex.org/W2165101139","https://openalex.org/W2167506279","https://openalex.org/W2232702494","https://openalex.org/W2276329208","https://openalex.org/W6675207249","https://openalex.org/W6676981982","https://openalex.org/W6684412653"],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2161981399","https://openalex.org/W2595043295","https://openalex.org/W2387043686"],"abstract_inverted_index":{"Over":[0],"the":[1,17,38,85,104,110,115,127,131,150],"past":[2],"few":[3],"decades,":[4],"many":[5],"studies":[6],"on":[7],"image":[8,41,184],"and":[9,21,42,106,141,165,185],"video":[10,43,186],"compression":[11],"have":[12,125,176],"found":[13],"various":[14],"approaches":[15],"to":[16,31,36,68,113,137,167,182],"exploitation":[18],"of":[19,40,71],"spatial":[20,51,140],"temporal":[22,142],"local":[23],"correlations.":[24,144],"However,":[25,63],"we":[26,48,83,118,124,175],"believe":[27,174],"it":[28,64],"is":[29,65,90],"imperative":[30],"find":[32],"more":[33],"efficient":[34],"methods":[35,112],"progress":[37],"development":[39],"compression.":[44,187],"In":[45],"this":[46,81],"paper,":[47],"first":[49],"study":[50],"non-local":[52,61,73,94,143],"correlation,":[53],"deducing":[54],"that":[55,96,149],"there":[56],"exist":[57],"strong":[58],"correlations":[59,74],"in":[60,162,170],"regions.":[62],"rather":[66],"difficult":[67],"make":[69],"use":[70,109],"these":[72],"while":[75],"simultaneously":[76],"minimizing":[77],"overhead.":[78,122],"To":[79],"solve":[80],"problem,":[82],"propose":[84],"signal-dependent":[86],"transform":[87,129],"(SDT),":[88],"which":[89],"derived":[91],"from":[92],"decoded":[93],"blocks":[95],"are":[97],"selected":[98],"by":[99],"matching":[100],"neighboring":[101],"pixels.":[102],"Since":[103],"encoder":[105],"decoder":[107],"can":[108,119,155],"same":[111],"derive":[114],"proposed":[116,128],"transform,":[117],"successfully":[120],"eliminate":[121],"Finally,":[123],"implemented":[126],"into":[130],"Key":[132],"Technology":[133],"Area":[134],"(KTA)":[135],"software":[136],"exploit":[138],"both":[139],"The":[145],"experimental":[146],"results":[147],"show":[148],"coding":[151],"gain":[152],"over":[153],"KTA":[154],"be":[156],"as":[157,159],"high":[158],"1.4":[160],"dB":[161,169],"intra-frame":[163],"coding,":[164],"up":[166],"1.0":[168],"inter-frame":[171],"coding.":[172],"We":[173],"effectively":[177],"created":[178],"an":[179],"alternate":[180],"method":[181],"improve":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}