{"id":"https://openalex.org/W2117228844","doi":"https://doi.org/10.1117/12.2040890","title":"An optimized template matching approach to intra coding in video/image compression","display_name":"An optimized template matching approach to intra coding in video/image compression","publication_year":2014,"publication_date":"2014-02-17","ids":{"openalex":"https://openalex.org/W2117228844","doi":"https://doi.org/10.1117/12.2040890","mag":"2117228844"},"language":"en","primary_location":{"id":"doi:10.1117/12.2040890","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2040890","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5064445567","display_name":"Hui Su","orcid":"https://orcid.org/0000-0003-0340-1128"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Su","raw_affiliation_strings":["Google Inc. (United States)","Google Inc., United States"],"affiliations":[{"raw_affiliation_string":"Google Inc. (United States)","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., United States","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046233912","display_name":"Jingning Han","orcid":"https://orcid.org/0000-0001-7168-2254"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingning Han","raw_affiliation_strings":["Google Inc. (United States)","Google Inc., United States"],"affiliations":[{"raw_affiliation_string":"Google Inc. (United States)","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., United States","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103766279","display_name":"Yaowu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaowu Xu","raw_affiliation_strings":["Google Inc. (United States)","Google Inc., United States"],"affiliations":[{"raw_affiliation_string":"Google Inc. (United States)","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., United States","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064445567"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":1.1776,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8002509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9029","issue":null,"first_page":"902904","last_page":"902904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.7936126589775085},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7138878107070923},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6540257930755615},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5803118348121643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5795997977256775},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.5724930763244629},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5254332423210144},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5174251794815063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4969339668750763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44660598039627075},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.42699626088142395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3736037313938141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24135351181030273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1939052939414978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7936126589775085},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7138878107070923},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6540257930755615},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5803118348121643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5795997977256775},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.5724930763244629},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5254332423210144},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5174251794815063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4969339668750763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44660598039627075},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.42699626088142395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3736037313938141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24135351181030273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1939052939414978},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2040890","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2040890","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.687.3847","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.687.3847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/43249.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":17,"referenced_works":["https://openalex.org/W1479703447","https://openalex.org/W1508435811","https://openalex.org/W2000094687","https://openalex.org/W2026732536","https://openalex.org/W2038297644","https://openalex.org/W2100095375","https://openalex.org/W2107207662","https://openalex.org/W2109839336","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2162475922","https://openalex.org/W2255391269","https://openalex.org/W2519104830","https://openalex.org/W3141563012","https://openalex.org/W6650228443","https://openalex.org/W6660068767","https://openalex.org/W6683779860"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W1706111048","https://openalex.org/W2115252864","https://openalex.org/W2129927873","https://openalex.org/W2112852877","https://openalex.org/W2772846670","https://openalex.org/W2034796835"],"abstract_inverted_index":{"The":[0],"template":[1,99,166],"matching":[2,100,167],"prediction":[3,58,115,131],"is":[4,72,103],"an":[5,67,119],"established":[6],"approach":[7],"to":[8,54,80,140],"intra-frame":[9],"coding":[10,158],"that":[11,77,152],"makes":[12],"use":[13],"of":[14,50,97,144,163],"previously":[15,27],"coded":[16],"pixels":[17,78],"in":[18,33],"the":[19,26,36,39,48,56,63,75,81,95,98,114,130,145,153,164,170],"same":[20,57],"frame":[21],"for":[22,43,113],"reference.":[23],"It":[24,92,148],"compares":[25],"reconstructed":[28],"upper":[29],"and":[30,45,133],"left":[31],"boundaries":[32],"searching":[34],"from":[35],"reference":[37],"area":[38],"best":[40],"matched":[41],"block":[42,83],"prediction,":[44],"hence":[46],"eliminates":[47],"need":[49],"sending":[51],"additional":[52],"information":[53],"reproduce":[55],"at":[59,129,137],"decoder.":[60],"In":[61],"viewing":[62],"image":[64],"signal":[65],"as":[66],"auto-regressive":[68],"model,":[69],"this":[70],"work":[71],"premised":[73],"on":[74,161],"fact":[76],"closer":[79],"known":[82],"boundary":[84,132],"are":[85],"better":[86],"predicted":[87],"than":[88],"those":[89],"far":[90,138],"apart.":[91],"significantly":[93],"extends":[94],"scope":[96],"approach,":[101],"which":[102],"typically":[104],"followed":[105],"by":[106,117],"a":[107],"conventional":[108,165],"discrete":[109,121],"cosine":[110],"transform":[111,123],"(DCT)":[112],"residuals,":[116],"employing":[118],"asymmetric":[120],"sine":[122],"(ADST),":[124],"whose":[125],"basis":[126],"functions":[127],"vanish":[128],"reach":[134],"maximum":[135],"magnitude":[136],"end,":[139],"fully":[141],"exploit":[142],"statistics":[143],"residual":[146],"signals.":[147],"was":[149],"experimentally":[150],"shown":[151],"proposed":[154],"scheme":[155],"provides":[156],"substantial":[157],"performance":[159],"gains":[160],"top":[162],"method":[168],"over":[169],"baseline.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}