{"id":"https://openalex.org/W2017514785","doi":"https://doi.org/10.1109/vcip.2014.7051518","title":"Tagged multi-hypothesis motion compensation scheme for video coding","display_name":"Tagged multi-hypothesis motion compensation scheme for video coding","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2017514785","doi":"https://doi.org/10.1109/vcip.2014.7051518","mag":"2017514785"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2014.7051518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","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/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China","Peking university, Shenzhen graduate school, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking university, Shenzhen graduate school, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["Peking University, Shenzhen Graduate School, Shenzhen, China","[Institute of Digital Media, Peking University, Beijing, China.]"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"[Institute of Digital Media, Peking University, Beijing, China.]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China","Peking university, Shenzhen graduate school, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking university, Shenzhen graduate school, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100333516"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210128628"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09091435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"117","last_page":"120"},"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":0.9979000091552734,"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":0.9951000213623047,"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/motion-compensation","display_name":"Motion compensation","score":0.80022132396698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420416474342346},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.7322322130203247},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.7225989103317261},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6267974376678467},{"id":"https://openalex.org/keywords/constant-bitrate","display_name":"Constant bitrate","score":0.592745304107666},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5869141221046448},{"id":"https://openalex.org/keywords/variable-bitrate","display_name":"Variable bitrate","score":0.5797227025032043},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.5338066220283508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4869607388973236},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.4620833098888397},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4444880187511444},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.4339859187602997},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4167774021625519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4155537188053131},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41477590799331665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.347561776638031},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3307717740535736},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.24640637636184692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19235366582870483},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.17350006103515625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12499448657035828},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.0988897979259491}],"concepts":[{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.80022132396698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420416474342346},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.7322322130203247},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.7225989103317261},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6267974376678467},{"id":"https://openalex.org/C34339180","wikidata":"https://www.wikidata.org/wiki/Q1325924","display_name":"Constant bitrate","level":4,"score":0.592745304107666},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5869141221046448},{"id":"https://openalex.org/C57667952","wikidata":"https://www.wikidata.org/wiki/Q1154443","display_name":"Variable bitrate","level":3,"score":0.5797227025032043},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.5338066220283508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4869607388973236},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.4620833098888397},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4444880187511444},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.4339859187602997},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4167774021625519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4155537188053131},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41477590799331665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.347561776638031},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3307717740535736},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.24640637636184692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19235366582870483},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.17350006103515625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12499448657035828},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0988897979259491},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2014.7051518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1976229437","https://openalex.org/W1994685695","https://openalex.org/W1996443413","https://openalex.org/W2039181402","https://openalex.org/W2077112618","https://openalex.org/W2098395302","https://openalex.org/W2106219841","https://openalex.org/W2110858941","https://openalex.org/W2132606272","https://openalex.org/W2137221944","https://openalex.org/W2140199336","https://openalex.org/W2145251738","https://openalex.org/W2146395539","https://openalex.org/W6644204280","https://openalex.org/W6675084218"],"related_works":["https://openalex.org/W2097846364","https://openalex.org/W2114244888","https://openalex.org/W4386172477","https://openalex.org/W1687620409","https://openalex.org/W3174162042","https://openalex.org/W2359580318","https://openalex.org/W4367694084","https://openalex.org/W2028638928","https://openalex.org/W2902391434","https://openalex.org/W2109074487"],"abstract_inverted_index":{"Accuracy":[0],"of":[1,33,40,53],"prediction":[2],"block":[3,76],"(PB)":[4],"plays":[5],"a":[6,71],"very":[7],"important":[8],"role":[9],"in":[10,81,90],"improving":[11],"the":[12,31,47,60,97,105,128],"coding":[13,64,94],"performance.":[14],"In":[15,123],"this":[16],"paper,":[17],"we":[18,125],"propose":[19],"tagged":[20],"multi-hypothesis":[21,130],"motion":[22,51,68,131],"compensation":[23,132],"scheme":[24,85],"(TMHMC)":[25],"for":[26],"inter":[27],"frames":[28,44],"to":[29,58,102,117],"improve":[30],"accuracy":[32],"PB.":[34,61],"TMHMC":[35,84,143],"not":[36],"only":[37,66],"makes":[38],"use":[39],"temporal":[41],"correlation":[42,49],"between":[43],"but":[45],"also":[46,126],"spatial":[48],"as":[50,86],"vectors":[52],"adjacent":[54,75],"blocks":[55],"are":[56,79],"used":[57,78],"derive":[59],"For":[62],"entropy":[63],"process,":[65],"one":[67],"vector":[69],"and":[70],"tag":[72],"indicating":[73],"which":[74],"is":[77,100,115,137],"coded":[80],"bit-stream.":[82],"Adding":[83],"an":[87],"additional":[88],"mode":[89],"MPEG":[91],"internet":[92],"video":[93],"(TVC)":[95],"platform,":[96],"bitrate":[98,113,136],"saving":[99,114],"up":[101],"12%":[103],"at":[104],"same":[106],"objective":[107],"quality":[108],"compared":[109,144],"with":[110,145],"anchor.":[111],"Average":[112],"close":[116],"6%":[118],"over":[119],"all":[120],"test":[121],"sequences.":[122],"addition,":[124],"implement":[127],"conventional":[129,146],"(MHMC)":[133],"scheme.":[134],"3%":[135],"further":[138],"saved":[139],"on":[140],"average":[141],"by":[142],"MHMC.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
