{"id":"https://openalex.org/W2117968453","doi":"https://doi.org/10.1109/pcs.2010.5702481","title":"Distributed video coding based on adaptive slice size using received motion vectors","display_name":"Distributed video coding based on adaptive slice size using received motion vectors","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2117968453","doi":"https://doi.org/10.1109/pcs.2010.5702481","mag":"2117968453"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2010.5702481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","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/A5088332593","display_name":"Kyung-Yeon Min","orcid":null},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungyeon Min","raw_affiliation_strings":["Kwangwoon University, South Korea","Kwangwoon University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwangwoon University, South Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Kwangwoon University,","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054615253","display_name":"Seanae Park","orcid":null},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seanae Park","raw_affiliation_strings":["Kwangwoon University, South Korea","Kwangwoon University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwangwoon University, South Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Kwangwoon University,","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006367195","display_name":"Donggyu Sim","orcid":"https://orcid.org/0000-0002-2794-9932"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donggyu Sim","raw_affiliation_strings":["Kwangwoon University, South Korea","Kwangwoon University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwangwoon University, South Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Kwangwoon University,","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161024014"],"apc_list":null,"apc_paid":null,"fwci":1.3352,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80299616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"35","issue":null,"first_page":"262","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9847000241279602,"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/encoder","display_name":"Encoder","score":0.8524848818778992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7589982748031616},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6485419869422913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6149435639381409},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5370731353759766},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.4657263159751892},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45872825384140015},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.4162950813770294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21364033222198486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1589832603931427}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.8524848818778992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589982748031616},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6485419869422913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6149435639381409},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5370731353759766},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.4657263159751892},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45872825384140015},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.4162950813770294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21364033222198486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1589832603931427},{"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/pcs.2010.5702481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","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":9,"referenced_works":["https://openalex.org/W304788913","https://openalex.org/W1987938678","https://openalex.org/W2039182392","https://openalex.org/W2074014021","https://openalex.org/W2102829577","https://openalex.org/W2105686699","https://openalex.org/W2112519209","https://openalex.org/W2150412388","https://openalex.org/W6610593553"],"related_works":["https://openalex.org/W2356119241","https://openalex.org/W2182248074","https://openalex.org/W2019141945","https://openalex.org/W2095407248","https://openalex.org/W2154078079","https://openalex.org/W4244085088","https://openalex.org/W406587413","https://openalex.org/W1997714924","https://openalex.org/W2141913236","https://openalex.org/W3167298930"],"abstract_inverted_index":{"In":[0,22,39],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,30,36,43,93,109],"new":[6],"distributed":[7],"video":[8],"coding":[9],"(DVC)":[10],"method":[11,97],"based":[12],"on":[13],"adaptive":[14],"slice":[15],"size":[16],"using":[17,86],"received":[18],"motion":[19],"vectors":[20],"(MVs).":[21],"the":[23,26,40,51,58,69,80,89,95,120],"proposed":[24,41,96,121],"algorithm,":[25],"MVs":[27,53],"estimated":[28],"at":[29,68],"DVC":[31,128],"decoder":[32,111],"are":[33],"transmitted":[34,52],"to":[35,64,103],"corresponding":[37],"encoder.":[38],"encoder,":[42],"predicted":[44],"side":[45,65],"information":[46,66],"(PSI)":[47],"is":[48,123],"reconstructed":[49],"with":[50,112],"and":[54,82,88],"key":[55],"frames.":[56],"Therefore,":[57],"PSI":[59,87],"can":[60,98],"be":[61],"generated":[62],"same":[63],"(SI)":[67],"decoder.":[70],"We":[71],"can,":[72],"also,":[73],"calculate":[74],"an":[75],"exact":[76],"crossover":[77],"probability":[78],"between":[79],"SI":[81],"original":[83,90],"input":[84],"frame":[85],"frame.":[91],"As":[92],"result,":[94],"transmit":[99],"minimum":[100],"parity":[101],"bits":[102],"maximize":[104],"error":[105],"correction":[106],"ability":[107],"of":[108],"channel":[110],"minimal":[113],"computational":[114],"complexity.":[115],"Experimental":[116],"results":[117],"show":[118],"that":[119],"algorithm":[122],"better":[124],"than":[125],"several":[126],"conventional":[127],"methods.":[129]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}