{"id":"https://openalex.org/W2279579214","doi":"https://doi.org/10.1109/icce-berlin.2015.7391208","title":"Temporal correlation-based fast encoding algorithm in HEVC intra frame coding","display_name":"Temporal correlation-based fast encoding algorithm in HEVC intra frame coding","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2279579214","doi":"https://doi.org/10.1109/icce-berlin.2015.7391208","mag":"2279579214"},"language":"en","primary_location":{"id":"doi:10.1109/icce-berlin.2015.7391208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2015.7391208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037085714","display_name":"Sang\u2010hyo Park","orcid":"https://orcid.org/0000-0002-7282-7686"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-hyo Park","raw_affiliation_strings":["Department of Computer and Software, Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software, Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040948795","display_name":"Seung-ho Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-ho Lee","raw_affiliation_strings":["Department of Computer and Software, Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software, Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063078131","display_name":"Haiyan Xu","orcid":"https://orcid.org/0000-0002-0535-1702"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haiyan Xu","raw_affiliation_strings":["Department of Computer and Software, Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software, Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085171842","display_name":"Euee S. Jang","orcid":"https://orcid.org/0000-0002-5312-7078"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Euee S. Jang","raw_affiliation_strings":["Department of Computer and Software, Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software, Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.4856,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59300352,"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":"113","last_page":"115"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9959999918937683,"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":0.8129507303237915},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.7865211367607117},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6282777786254883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6034241318702698},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5618671178817749},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.5379481911659241},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4186948239803314},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33438119292259216},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2795318365097046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2768717110157013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10767355561256409},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0956437885761261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129507303237915},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.7865211367607117},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6282777786254883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6034241318702698},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5618671178817749},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.5379481911659241},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4186948239803314},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33438119292259216},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2795318365097046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2768717110157013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10767355561256409},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0956437885761261},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-berlin.2015.7391208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2015.7391208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","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":12,"referenced_works":["https://openalex.org/W1584429194","https://openalex.org/W2013875322","https://openalex.org/W2039760575","https://openalex.org/W2047745311","https://openalex.org/W2063660172","https://openalex.org/W2077743816","https://openalex.org/W2088347497","https://openalex.org/W2140199336","https://openalex.org/W2521884840","https://openalex.org/W2979673094","https://openalex.org/W6634955670","https://openalex.org/W6726875268"],"related_works":["https://openalex.org/W2735437354","https://openalex.org/W2028369661","https://openalex.org/W2908833932","https://openalex.org/W4254232196","https://openalex.org/W2022760311","https://openalex.org/W1579233721","https://openalex.org/W2271827173","https://openalex.org/W2242376282","https://openalex.org/W2986238322","https://openalex.org/W2560965210"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,87,92],"method":[6],"that":[7,27],"skips":[8,67],"the":[9,24,43,46,58,80,83],"complex":[10],"encoding":[11,25],"processes":[12],"of":[13,32,82],"coding":[14],"unit":[15,69],"(CU)":[16],"for":[17],"HEVC":[18,101],"intra":[19],"frame":[20],"coding.":[21],"To":[22],"speed-up":[23],"process":[26],"recursively":[28],"explore":[29],"all":[30],"sizes":[31,70],"CUs,":[33],"most":[34],"researchers":[35],"have":[36],"exploited":[37,57],"spatial":[38],"information":[39],"thus":[40],"far.":[41],"On":[42],"other":[44],"hand,":[45],"temporal":[47,59],"correlation":[48,60],"among":[49],"frames":[50],"has":[51],"not":[52],"been":[53],"thoroughly":[54],"investigated.":[55],"We":[56],"as":[61],"an":[62],"early":[63],"termination":[64],"method,":[65,85],"which":[66],"ineffective":[68],"and":[71],"associated":[72],"cost.":[73],"Simulation":[74],"results":[75],"are":[76],"provided":[77],"to":[78,100],"verify":[79],"efficiency":[81],"proposed":[84],"showing":[86],"32%":[88],"time":[89],"saving":[90],"with":[91],"0.2":[93],"%":[94],"BD-rate":[95],"loss":[96],"on":[97],"average":[98],"compared":[99],"test":[102],"model":[103],"10.0":[104],"under":[105],"all-intra":[106],"configuration.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}