{"id":"https://openalex.org/W2163033465","doi":"https://doi.org/10.1109/icip.2008.4712184","title":"Rate-distortion analysis of weighted prediction for error resilience","display_name":"Rate-distortion analysis of weighted prediction for error resilience","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2163033465","doi":"https://doi.org/10.1109/icip.2008.4712184","mag":"2163033465"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image 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/A5100385830","display_name":"Yu\u2010xin Liu","orcid":"https://orcid.org/0000-0002-5815-8244"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuxin Liu","raw_affiliation_strings":["Hewlett Packard Laboratories, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Laboratories, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086695527","display_name":"R. Kurceren","orcid":null},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ragip Kurceren","raw_affiliation_strings":["Nokia, Inc., Irving, TX, USA"],"affiliations":[{"raw_affiliation_string":"Nokia, Inc., Irving, TX, USA","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024859042","display_name":"Debargha Mukherjee","orcid":"https://orcid.org/0000-0002-9380-7377"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debargha Mukherjee","raw_affiliation_strings":["Hewlett Packard Laboratories, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Laboratories, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100385830"],"corresponding_institution_ids":["https://openalex.org/I1324840837"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19426709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2032","last_page":"2035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9735999703407288,"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":0.6838412284851074},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.625538170337677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5957828760147095},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5595297813415527},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5434605479240417},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5288233160972595},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.5279245376586914},{"id":"https://openalex.org/keywords/distortion-function","display_name":"Distortion function","score":0.4594929814338684},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.45103275775909424},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.43867504596710205},{"id":"https://openalex.org/keywords/error-analysis","display_name":"Error analysis","score":0.42873644828796387},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3281121850013733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24549227952957153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23114103078842163},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.21091940999031067},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.20617637038230896},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.17553460597991943},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.1564759910106659},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1290917694568634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838412284851074},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.625538170337677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5957828760147095},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5595297813415527},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5434605479240417},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5288233160972595},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.5279245376586914},{"id":"https://openalex.org/C2780803321","wikidata":"https://www.wikidata.org/wiki/Q5283073","display_name":"Distortion function","level":3,"score":0.4594929814338684},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.45103275775909424},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.43867504596710205},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.42873644828796387},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3281121850013733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24549227952957153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23114103078842163},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.21091940999031067},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.20617637038230896},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.17553460597991943},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.1564759910106659},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1290917694568634},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1580329059","https://openalex.org/W1839059388","https://openalex.org/W2040972309","https://openalex.org/W2064369022","https://openalex.org/W2123807397","https://openalex.org/W2123901719","https://openalex.org/W2155707718","https://openalex.org/W2163124481","https://openalex.org/W6666635713"],"related_works":["https://openalex.org/W1529797273","https://openalex.org/W4289655361","https://openalex.org/W1413489299","https://openalex.org/W2137901323","https://openalex.org/W2000669813","https://openalex.org/W2148508315","https://openalex.org/W2164061852","https://openalex.org/W2106025666","https://openalex.org/W2119076689","https://openalex.org/W2169872009"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,95],"extend":[4],"our":[5,122],"work":[6],"in":[7,66,93],"[1]":[8],"and":[9,63,82,104,117,130],"address":[10],"an":[11],"approach":[12,41],"to":[13],"theoretically":[14],"analyze":[15],"the":[16,21,27,33,43,57,60,64,67,79,83,90,106,126,133,138],"rate-distortion":[17,75,108],"(R-D)":[18],"performance":[19],"of":[20,29,45],"weighted":[22,34],"prediction":[23,35,40],"feature":[24],"provided":[25],"within":[26],"scope":[28],"H.264/AVC.":[30],"We":[31,48,71,120],"consider":[32],"as":[36],"a":[37,50,73],"standard-compatible":[38],"leaky":[39,112],"for":[42,77,114],"purpose":[44],"error":[46,86],"resilience.":[47],"adopt":[49],"quantization":[51],"noise":[52],"model":[53],"that":[54,132],"explicitly":[55],"formulates":[56],"relationship":[58],"between":[59],"data":[61],"rate":[62],"distortion":[65],"mean-square-error":[68],"(MSE)":[69],"sense.":[70],"derive":[72],"comprehensive":[74],"function":[76],"both":[78,115],"error-free":[80,116],"scenario":[81],"one":[84],"with":[85,125,137],"drift.":[87],"Through":[88],"adjusting":[89],"weight":[91],"coefficients":[92],"H.264/AVC,":[94],"also":[96],"simulate":[97],"H.264/AVC":[98],"video":[99],"streaming":[100],"over":[101],"error-prone":[102],"networks":[103],"obtain":[105],"operational":[107,127,139],"results":[109,124,135],"using":[110],"various":[111],"factors":[113],"error-drift":[118],"scenarios.":[119],"compare":[121],"theoretical":[123,134],"R-D":[128],"curves":[129],"demonstrate":[131],"conform":[136],"results.":[140]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
