{"id":"https://openalex.org/W2015642272","doi":"https://doi.org/10.1109/sips.2007.4387569","title":"Wyner-Ziv Video Coding for Low Bitrate Using Spiht Algorithm","display_name":"Wyner-Ziv Video Coding for Low Bitrate Using Spiht Algorithm","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2015642272","doi":"https://doi.org/10.1109/sips.2007.4387569","mag":"2015642272"},"language":"en","primary_location":{"id":"doi:10.1109/sips.2007.4387569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2007.4387569","pdf_url":null,"source":{"id":"https://openalex.org/S4210209284","display_name":"SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems","issn_l":"1520-6130","issn":["1520-6130","2374-7390"],"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":"2007 IEEE Workshop on Signal Processing Systems","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/A5006919472","display_name":"Shenyuan Li","orcid":"https://orcid.org/0000-0003-4070-796X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenyuan Li","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Sience and Technology, Qingdao, 266510, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Sience and Technology, Qingdao, 266510, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035297098","display_name":"Sheng Fang","orcid":"https://orcid.org/0000-0002-7201-2540"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Fang","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Sience and Technology, Qingdao, 266510, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Sience and Technology, Qingdao, 266510, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356610","display_name":"Zhe Li","orcid":"https://orcid.org/0000-0001-7579-7702"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Li","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Sience and Technology, Qingdao, 266510, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Sience and Technology, Qingdao, 266510, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006919472"],"corresponding_institution_ids":["https://openalex.org/I154099455","https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":1.405,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81601517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9986000061035156,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9976000189781189,"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/set-partitioning-in-hierarchical-trees","display_name":"Set partitioning in hierarchical trees","score":0.8160665035247803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5942417979240417},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.5586110353469849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5483220815658569},{"id":"https://openalex.org/keywords/shannon\u2013fano-coding","display_name":"Shannon\u2013Fano coding","score":0.5376957654953003},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5328168272972107},{"id":"https://openalex.org/keywords/sub-band-coding","display_name":"Sub-band coding","score":0.5194967985153198},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5105518102645874},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.49105358123779297},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.4617709219455719},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43471741676330566},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4338746666908264},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43254274129867554},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.413130521774292},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.41273564100265503},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.383550226688385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36346596479415894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3186008930206299},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.24936726689338684},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.21919205784797668},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06989729404449463}],"concepts":[{"id":"https://openalex.org/C136968285","wikidata":"https://www.wikidata.org/wiki/Q3246374","display_name":"Set partitioning in hierarchical trees","level":5,"score":0.8160665035247803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5942417979240417},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.5586110353469849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5483220815658569},{"id":"https://openalex.org/C130811719","wikidata":"https://www.wikidata.org/wiki/Q2645","display_name":"Shannon\u2013Fano coding","level":4,"score":0.5376957654953003},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5328168272972107},{"id":"https://openalex.org/C98526533","wikidata":"https://www.wikidata.org/wiki/Q1691938","display_name":"Sub-band coding","level":3,"score":0.5194967985153198},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5105518102645874},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.49105358123779297},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.4617709219455719},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43471741676330566},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4338746666908264},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43254274129867554},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.413130521774292},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.41273564100265503},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.383550226688385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36346596479415894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3186008930206299},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.24936726689338684},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.21919205784797668},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06989729404449463}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips.2007.4387569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2007.4387569","pdf_url":null,"source":{"id":"https://openalex.org/S4210209284","display_name":"SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems","issn_l":"1520-6130","issn":["1520-6130","2374-7390"],"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":"2007 IEEE Workshop on Signal Processing Systems","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":10,"referenced_works":["https://openalex.org/W131991018","https://openalex.org/W1481550144","https://openalex.org/W2012663510","https://openalex.org/W2099213070","https://openalex.org/W2142276208","https://openalex.org/W2146963604","https://openalex.org/W2150412388","https://openalex.org/W2159284178","https://openalex.org/W2169809669","https://openalex.org/W6628807880"],"related_works":["https://openalex.org/W4312628177","https://openalex.org/W1579872668","https://openalex.org/W2156106714","https://openalex.org/W1587903609","https://openalex.org/W2123072960","https://openalex.org/W2148686647","https://openalex.org/W1994532706","https://openalex.org/W2121083088","https://openalex.org/W86028255","https://openalex.org/W3146923671"],"abstract_inverted_index":{"Distributed":[0],"video":[1,27],"coding":[2,28,118],"(DVC)":[3],"is":[4],"a":[5,25,131],"new":[6],"compression":[7],"method":[8],"based":[9,30],"on":[10,31],"two":[11],"key":[12],"information":[13],"theory":[14],"results:":[15],"Slepian-Wolf":[16],"and":[17,34,46,77],"Wyner-Ziv":[18,26,72,106],"theorems.":[19],"In":[20,53],"this":[21],"paper,":[22],"we":[23,56],"proposed":[24,112],"scheme":[29,113,119],"wavelet":[32],"transform":[33],"set-partition":[35],"in":[36,84,125],"hierarchical":[37],"trees":[38],"(SPIHT)":[39],"which":[40],"can":[41],"exploit":[42],"the":[43,50,90,94,105],"spatial,":[44],"temporal":[45],"statistical":[47],"correlations":[48],"of":[49,67,80,127],"frame":[51],"sequence.":[52],"our":[54],"scheme,":[55],"use":[57],"Discrete":[58],"Wavelet":[59],"Transform":[60],"(DWT)":[61],"before":[62],"quantization,":[63],"then":[64],"only":[65,120],"coefficients":[66,79],"low":[68,133],"frequency":[69,82],"subband":[70],"are":[71,87],"encoded":[73],"using":[74],"turbo":[75],"codes,":[76],"all":[78],"high":[81],"subbands":[83],"these":[85],"frames":[86],"coded":[88],"by":[89],"SPIHT":[91,122],"algorithm.":[92],"At":[93],"decoder,":[95],"side-information":[96],"generated":[97],"through":[98],"interpolation":[99],"was":[100],"used":[101,121],"to":[102],"conditionally":[103],"decode":[104],"frames.":[107],"Obtained":[108],"results":[109],"show":[110],"that":[111],"performs":[114],"better":[115],"than":[116],"intra":[117],"algorithm":[123],"especially":[124],"terms":[126],"decoding":[128],"efficiency":[129],"at":[130],"correspondingly":[132],"bit":[134],"rate.":[135]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}