{"id":"https://openalex.org/W2002791438","doi":"https://doi.org/10.1109/lsp.2014.2313887","title":"Optimal Viterbi Based Total Variation Sequence Detection (TVSD) For Robust Image/Video Decoding In Wireless Sensor Networks","display_name":"Optimal Viterbi Based Total Variation Sequence Detection (TVSD) For Robust Image/Video Decoding In Wireless Sensor Networks","publication_year":2014,"publication_date":"2014-03-26","ids":{"openalex":"https://openalex.org/W2002791438","doi":"https://doi.org/10.1109/lsp.2014.2313887","mag":"2002791438"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2313887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2313887","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5072175212","display_name":"Ankit Kudeshia","orcid":"https://orcid.org/0000-0002-3479-2099"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankit Kudeshia","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, UP, India","Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, UP, India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021662164","display_name":"Aditya K. Jagannatham","orcid":"https://orcid.org/0000-0003-1594-5181"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya K. Jagannatham","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, UP, India","Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, UP, India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.9889,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79613815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"21","issue":"6","first_page":"722","last_page":"726"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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":0.6946444511413574},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.547053873538971},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5446696281433105},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5263080596923828},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.48191383481025696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45707282423973083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4475491940975189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.399586021900177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21777811646461487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946444511413574},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.547053873538971},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5446696281433105},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5263080596923828},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.48191383481025696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45707282423973083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4475491940975189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.399586021900177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21777811646461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2014.2313887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2313887","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1594234351","https://openalex.org/W1997834106","https://openalex.org/W2040564415","https://openalex.org/W2100444301","https://openalex.org/W2103559027","https://openalex.org/W2135879701","https://openalex.org/W2140196014","https://openalex.org/W2143816931","https://openalex.org/W2148037789","https://openalex.org/W2164040995","https://openalex.org/W2169899245"],"related_works":["https://openalex.org/W2062804535","https://openalex.org/W2148710370","https://openalex.org/W2281825358","https://openalex.org/W2993094530","https://openalex.org/W2097654368","https://openalex.org/W1777183400","https://openalex.org/W2010963605","https://openalex.org/W2471048935","https://openalex.org/W2792264972","https://openalex.org/W1005425325"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3],"propose":[4],"a":[5,36,103],"novel":[6],"scheme":[7,52,110],"for":[8,66,81,95,107],"robust":[9,82],"reconstruction,":[10],"based":[11,47,75],"on":[12],"total":[13,44,87],"variation":[14,45,56,88],"regularization,":[15],"towards":[16],"image/video":[17],"communication":[18],"in":[19,111],"multimedia":[20],"wireless":[21],"sensor":[22],"networks.":[23],"We":[24],"derive":[25],"the":[26,33,54,73,108],"optimal":[27],"joint":[28],"source":[29],"channel":[30],"decoder":[31,77],"as":[32],"combination":[34],"of":[35,59],"maximum":[37],"likelihood":[38],"cost":[39],"function":[40],"and":[41,61,90,97],"an":[42],"anisotropic":[43],"norm":[46],"regularization":[48],"factor.":[49],"The":[50],"proposed":[51,109],"exploits":[53],"bounded":[55],"(BV)":[57],"property":[58],"images":[60],"is":[62,70],"thus":[63],"ideally":[64],"suited":[65],"reconstruction.":[67],"Subsequently,":[68],"it":[69],"demonstrated":[71],"that":[72],"trellis":[74],"Viterbi":[76],"can":[78],"be":[79],"employed":[80],"image":[83,100],"reconstruction":[84,105],"using":[85],"modified":[86],"state":[89],"branch":[91],"metrics.":[92],"Simulation":[93],"results":[94],"BTC":[96],"JPEG":[98],"encoded":[99],"transmission":[101],"demonstrate":[102],"superior":[104],"performance":[106],"comparison":[112],"to":[113],"conventional":[114],"methods.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
