{"id":"https://openalex.org/W4308235810","doi":"https://doi.org/10.1109/icip46576.2022.9897276","title":"An Efficient Scheme of Multi-Hypothesis Motion Compensated Prediction for Video Coding Applications","display_name":"An Efficient Scheme of Multi-Hypothesis Motion Compensated Prediction for Video Coding Applications","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235810","doi":"https://doi.org/10.1109/icip46576.2022.9897276"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897276","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5100443974","display_name":"Bohan Li","orcid":"https://orcid.org/0000-0002-3408-9037"},"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":"Bohan Li","raw_affiliation_strings":["Google LLC,Open Codecs","Open Codecs, Google LLC"],"affiliations":[{"raw_affiliation_string":"Google LLC,Open Codecs","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Open Codecs, Google LLC","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 LLC,Open Codecs","Open Codecs, Google LLC"],"affiliations":[{"raw_affiliation_string":"Google LLC,Open Codecs","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Open Codecs, Google LLC","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 LLC,Open Codecs","Open Codecs, Google LLC"],"affiliations":[{"raw_affiliation_string":"Google LLC,Open Codecs","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Open Codecs, Google LLC","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100443974"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.1226,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26508689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2231","last_page":"2235"},"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":0.9990000128746033,"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":0.9987000226974487,"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":0.7747320532798767},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7266567349433899},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6847540140151978},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6161683201789856},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5701887607574463},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.528558611869812},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4733942747116089},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.41856253147125244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3763050436973572},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35319310426712036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34295934438705444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11854392290115356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747320532798767},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7266567349433899},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6847540140151978},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6161683201789856},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5701887607574463},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.528558611869812},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4733942747116089},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.41856253147125244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3763050436973572},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35319310426712036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34295934438705444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11854392290115356},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897276","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":19,"referenced_works":["https://openalex.org/W1756085774","https://openalex.org/W2036861225","https://openalex.org/W2098522213","https://openalex.org/W2106260397","https://openalex.org/W2110440242","https://openalex.org/W2126897420","https://openalex.org/W2137221944","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2276329208","https://openalex.org/W2332316162","https://openalex.org/W2564700660","https://openalex.org/W2944998125","https://openalex.org/W2971036405","https://openalex.org/W3108395087","https://openalex.org/W3134368609","https://openalex.org/W3186325800","https://openalex.org/W3202918664","https://openalex.org/W6694662063"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1530267862","https://openalex.org/W2153529351","https://openalex.org/W2016848112","https://openalex.org/W1967654336","https://openalex.org/W1541334882","https://openalex.org/W2157391823","https://openalex.org/W2040149295","https://openalex.org/W2140285056","https://openalex.org/W2169116484"],"abstract_inverted_index":{"Prior":[0],"research":[1],"has":[2],"demonstrated":[3],"that":[4,76,111],"the":[5,23,30,43,52,56,73,88,103,112],"multi-hypothesis":[6,32,74],"motion":[7,44,53,84],"compensated":[8],"prediction":[9,16,105],"(MCP)":[10],"can":[11],"theoretically":[12],"provide":[13],"a":[14,68,122],"better":[15],"quality":[17],"than":[18],"single-reference":[19],"MCP,":[20],"thereby":[21],"improving":[22],"compression":[24],"efficiency":[25],"in":[26],"video":[27],"coding.":[28],"However,":[29],"existing":[31],"MCP":[33,75],"methods":[34],"typically":[35],"require":[36],"either":[37,87],"additional":[38,79],"rate":[39,80],"cost":[40],"to":[41,50,71,95,101],"transmit":[42],"vectors,":[45],"or":[46,90],"significant":[47],"decoding":[48],"complexity":[49],"conduct":[51],"search":[54,85],"at":[55],"decoder":[57,91],"end,":[58],"which":[59],"is":[60],"usually":[61],"expensive.":[62],"In":[63],"this":[64],"work,":[65],"we":[66],"propose":[67],"novel":[69],"scheme":[70,114],"materialize":[72],"requires":[77],"no":[78],"cost,":[81],"nor":[82],"extra":[83],"on":[86],"encoder":[89],"side.":[92],"Various":[93],"approaches":[94],"synthesize":[96],"these":[97],"available":[98],"multiple":[99],"references":[100],"form":[102],"inter":[104],"are":[106],"presented.":[107],"We":[108],"experimentally":[109],"demonstrate":[110],"proposed":[113],"provides":[115],"considerable":[116],"and":[117],"consistent":[118],"coding":[119],"gains":[120],"across":[121],"wide":[123],"range":[124],"of":[125],"operating":[126],"points.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}