{"id":"https://openalex.org/W2132211232","doi":"https://doi.org/10.1109/mmsp.2002.1203249","title":"Recovery of lost VQ indexes in packet transmission","display_name":"Recovery of lost VQ indexes in packet transmission","publication_year":2004,"publication_date":"2004-01-24","ids":{"openalex":"https://openalex.org/W2132211232","doi":"https://doi.org/10.1109/mmsp.2002.1203249","mag":"2132211232"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2002.1203249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2002.1203249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE Workshop on Multimedia Signal Processing.","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/A5100407681","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0003-4102-1353"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McMaster University, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McMaster University, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101467563","display_name":"Xiaolin Wu","orcid":"https://orcid.org/0000-0002-7230-9168"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolin Wu","raw_affiliation_strings":["Department of Computer Sci, Polytechnic University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sci, Polytechnic University, Brooklyn, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100407681"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.5466,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70460652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"65","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6556975841522217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6464952826499939},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.49026206135749817},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4554559290409088},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4536735713481903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4316033720970154},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.428798109292984},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.42115119099617004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38742074370384216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30271971225738525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2978697121143341},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20322299003601074},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19648176431655884},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14637690782546997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0909767746925354}],"concepts":[{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6556975841522217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6464952826499939},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.49026206135749817},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4554559290409088},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4536735713481903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4316033720970154},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.428798109292984},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42115119099617004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38742074370384216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30271971225738525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2978697121143341},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20322299003601074},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19648176431655884},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14637690782546997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0909767746925354},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2002.1203249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2002.1203249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE Workshop on Multimedia Signal Processing.","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":7,"referenced_works":["https://openalex.org/W1634005169","https://openalex.org/W1917420918","https://openalex.org/W2121782860","https://openalex.org/W2138075982","https://openalex.org/W2149499527","https://openalex.org/W2155531989","https://openalex.org/W6680685410"],"related_works":["https://openalex.org/W1495042958","https://openalex.org/W2494338568","https://openalex.org/W1660242800","https://openalex.org/W2122678784","https://openalex.org/W2077211377","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,15,28,32,39,51,55,65,110],"problem":[3,111],"of":[4,7,17,35,42,64,97,112],"robust":[5],"transmission":[6],"VQ-coded":[8],"image/video":[9],"via":[10],"noisy":[11],"packet":[12,18,93],"networks.":[13],"In":[14,73],"event":[16],"loss,":[19],"some":[20],"VQ":[21,44,57,71,88],"index":[22,58,89],"bits":[23,90],"will":[24],"be":[25],"absent":[26],"at":[27],"receiver":[29],"side.":[30],"But":[31],"very":[33],"knowledge":[34],"lost":[36],"packets":[37],"identities":[38],"spatial":[40],"locations":[41],"affected":[43],"blocks,":[45],"which":[46],"are":[47],"powerful":[48],"information":[49],"for":[50],"decoder":[52],"to":[53,85,92,101],"estimate":[54],"missing":[56,87],"bits.":[59],"This":[60],"is":[61,100],"possible":[62],"because":[63],"statistical":[66],"redundancy":[67],"between":[68],"spatially":[69],"adjacent":[70],"blocks.":[72],"this":[74,98],"paper":[75],"we":[76],"present":[77],"a":[78,81],"MAP":[79,107],"(maximum":[80],"posterior)":[82],"estimation":[83],"technique":[84],"recover":[86],"due":[91],"loss.":[94],"The":[95],"novelty":[96],"work":[99],"couple":[102],"high-order":[103],"Markov":[104],"modeling":[105],"with":[106],"while":[108],"avoiding":[109],"context":[113],"dilution.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}