{"id":"https://openalex.org/W2518352338","doi":"https://doi.org/10.1109/icip.2016.7532730","title":"Joint error-resilient video source coding and FEC code rate optimization for an AWGN channel","display_name":"Joint error-resilient video source coding and FEC code rate optimization for an AWGN channel","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2518352338","doi":"https://doi.org/10.1109/icip.2016.7532730","mag":"2518352338"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5101950129","display_name":"Qing Song","orcid":"https://orcid.org/0000-0002-1177-2562"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qing Song","raw_affiliation_strings":["UC San Diego, Dept. of Electrical and Comp. Engr., La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"UC San Diego, Dept. of Electrical and Comp. Engr., La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111638973","display_name":"Arash Vosoughi","orcid":null},"institutions":[{"id":"https://openalex.org/I2818286","display_name":"LG (United States)","ror":"https://ror.org/02b948n83","country_code":"US","type":"company","lineage":["https://openalex.org/I2818286","https://openalex.org/I4210131320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arash Vosoughi","raw_affiliation_strings":["LG Electronics Mobile Research Lab, San Jose, CA"],"affiliations":[{"raw_affiliation_string":"LG Electronics Mobile Research Lab, San Jose, CA","institution_ids":["https://openalex.org/I2818286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068804724","display_name":"Pamela C. Cosman","orcid":"https://orcid.org/0000-0002-4012-0176"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pamela C. Cosman","raw_affiliation_strings":["UC San Diego, Dept. of Electrical and Comp. Engr., La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"UC San Diego, Dept. of Electrical and Comp. Engr., La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108603656","display_name":"L.B. Milstein","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laurence B. Milstein","raw_affiliation_strings":["UC San Diego, Dept. of Electrical and Comp. Engr., La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"UC San Diego, Dept. of Electrical and Comp. Engr., La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101950129"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53405978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"2107","last_page":"2111"},"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":0.9957000017166138,"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":0.9878000020980835,"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":0.7233884334564209},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6706128716468811},{"id":"https://openalex.org/keywords/forward-error-correction","display_name":"Forward error correction","score":0.6164617538452148},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6095665693283081},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.48396873474121094},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.47550898790359497},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46936872601509094},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4679732918739319},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.4565110504627228},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4539099633693695},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.45209911465644836},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4488801658153534},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4392065703868866},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.43210411071777344},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.4183007478713989},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4132283329963684},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2855840027332306},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22101211547851562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18367767333984375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11669683456420898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233884334564209},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6706128716468811},{"id":"https://openalex.org/C202932441","wikidata":"https://www.wikidata.org/wiki/Q55611017","display_name":"Forward error correction","level":3,"score":0.6164617538452148},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6095665693283081},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.48396873474121094},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.47550898790359497},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46936872601509094},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4679732918739319},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.4565110504627228},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4539099633693695},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.45209911465644836},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4488801658153534},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4392065703868866},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.43210411071777344},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.4183007478713989},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4132283329963684},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2855840027332306},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22101211547851562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18367767333984375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11669683456420898},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/icip.2016.7532730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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":17,"referenced_works":["https://openalex.org/W1974449371","https://openalex.org/W1974769281","https://openalex.org/W1985657543","https://openalex.org/W2026438958","https://openalex.org/W2037733470","https://openalex.org/W2066115669","https://openalex.org/W2105574607","https://openalex.org/W2106219841","https://openalex.org/W2138499464","https://openalex.org/W2140884055","https://openalex.org/W2153228489","https://openalex.org/W2156498695","https://openalex.org/W2166919462","https://openalex.org/W2169161136","https://openalex.org/W2169360955","https://openalex.org/W2169606607","https://openalex.org/W6680886550"],"related_works":["https://openalex.org/W2009676115","https://openalex.org/W2147544396","https://openalex.org/W2001971590","https://openalex.org/W3102602607","https://openalex.org/W2134084011","https://openalex.org/W2167972000","https://openalex.org/W2113237800","https://openalex.org/W2038553764","https://openalex.org/W4393028140","https://openalex.org/W2116220982"],"abstract_inverted_index":{"A":[0],"joint":[1],"source-channel":[2],"rate-distortion":[3],"(RD)":[4],"optimization":[5,72],"is":[6],"proposed":[7,55,85],"for":[8],"video":[9,33],"communication":[10],"systems.":[11],"The":[12,54],"source":[13,42,79],"coding":[14,17,80],"and":[15,35,44],"channel":[16],"options":[18],"are":[19],"optimized":[20],"by":[21,63],"seeking":[22],"the":[23,27,36,39,59,78],"best":[24],"trade-off":[25],"between":[26],"estimated":[28],"end-to-end":[29],"distortion":[30],"of":[31,38,41,82],"a":[32,65],"packet":[34],"sum":[37],"number":[40],"bits":[43,48],"forward":[45],"error":[46],"correction":[47],"used":[49],"to":[50,69],"encode":[51],"that":[52],"packet.":[53],"RD":[56,71,86],"algorithm":[57,87],"controls":[58],"total":[60],"bit":[61],"rate":[62],"using":[64],"Lagrange":[66],"multiplier.":[67],"Compared":[68],"conventional":[70],"schemes,":[73],"which":[74],"only":[75],"optimize":[76],"over":[77,91],"modes":[81],"macroblocks,":[83],"our":[84],"achieves":[88],"superior":[89],"performance":[90],"an":[92],"AWGN":[93],"channel.":[94]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
