{"id":"https://openalex.org/W2043169479","doi":"https://doi.org/10.1117/1.2179094","title":"Robust transmission of regions of interest in JPEG2000","display_name":"Robust transmission of regions of interest in JPEG2000","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2043169479","doi":"https://doi.org/10.1117/1.2179094","mag":"2043169479"},"language":"en","primary_location":{"id":"doi:10.1117/1.2179094","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2179094","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-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/A5100634965","display_name":"V\u00edctor S\u00e1nchez","orcid":"https://orcid.org/0000-0002-7089-7031"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Victor F. Sanchez","raw_affiliation_strings":["Univ. of Alberta (Canada)","University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Alberta T6G 2E8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Alberta (Canada)","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Alberta T6G 2E8","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100634965"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11787104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":"013008","last_page":"013008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7187981605529785},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6870489716529846},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6282185316085815},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.602494478225708},{"id":"https://openalex.org/keywords/multiple-description-coding","display_name":"Multiple description coding","score":0.5614284873008728},{"id":"https://openalex.org/keywords/cyclic-redundancy-check","display_name":"Cyclic redundancy check","score":0.5372296571731567},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4652133285999298},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4526672959327698},{"id":"https://openalex.org/keywords/transmission-delay","display_name":"Transmission delay","score":0.45133736729621887},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.41148149967193604},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.31355583667755127},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2831336557865143},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.24886652827262878},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1871146857738495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18021556735038757},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1717408299446106},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08220988512039185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187981605529785},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6870489716529846},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6282185316085815},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.602494478225708},{"id":"https://openalex.org/C135554599","wikidata":"https://www.wikidata.org/wiki/Q3682206","display_name":"Multiple description coding","level":3,"score":0.5614284873008728},{"id":"https://openalex.org/C137627569","wikidata":"https://www.wikidata.org/wiki/Q245471","display_name":"Cyclic redundancy check","level":3,"score":0.5372296571731567},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4652133285999298},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4526672959327698},{"id":"https://openalex.org/C108921912","wikidata":"https://www.wikidata.org/wiki/Q7834639","display_name":"Transmission delay","level":3,"score":0.45133736729621887},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.41148149967193604},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.31355583667755127},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2831336557865143},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.24886652827262878},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1871146857738495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18021556735038757},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1717408299446106},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08220988512039185},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.2179094","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2179094","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1596939795","https://openalex.org/W1964200283","https://openalex.org/W1978068076","https://openalex.org/W2072946125","https://openalex.org/W2108090429","https://openalex.org/W2122683098","https://openalex.org/W2132441534","https://openalex.org/W2155821648","https://openalex.org/W2160647929","https://openalex.org/W2167216303"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4221148444","https://openalex.org/W2155977338","https://openalex.org/W2889025317","https://openalex.org/W2771965363","https://openalex.org/W2372212097","https://openalex.org/W1571436896","https://openalex.org/W2141732607","https://openalex.org/W2544529337","https://openalex.org/W2043169479"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,17,53,59,79,82,98],"technique":[3,15],"to":[4,28,33],"robustly":[5],"transmit":[6],"regions":[7],"of":[8,20,36,47,58,64,69,78,81,108],"interest":[9,21],"in":[10,39,52,104],"the":[11,29,34,40,48,56,62,67,105,109],"JPEG2000":[12],"framework.":[13],"The":[14,44],"assumes":[16],"prioritized":[18],"region":[19,63],"coding":[22],"and":[23,55,88],"optimally":[24],"assigns":[25],"channel":[26,100],"protection":[27,73],"coded":[30],"data":[31],"according":[32],"importance":[35,68],"every":[37,70],"packet":[38,60],"final":[41],"bit":[42],"stream.":[43],"mean":[45],"energy":[46],"transform":[49],"coefficients":[50],"contained":[51],"packet,":[54],"distance":[57],"from":[61],"interest,":[65],"determine":[66],"packet.":[71],"Channel":[72],"is":[74],"achieved":[75],"by":[76],"means":[77],"concatenation":[80],"cyclic":[83],"redundancy":[84],"check":[85],"outer":[86],"coder":[87],"an":[89,102],"inner":[90],"rate-compatible":[91],"convolutional":[92],"coder.":[93],"Simulation":[94],"results":[95],"performed":[96],"over":[97],"Rayleigh-fading":[99],"show":[101],"improvement":[103],"visual":[106],"quality":[107],"reconstructed":[110],"images.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}