{"id":"https://openalex.org/W2053804424","doi":"https://doi.org/10.5220/0005057701800185","title":"3D Dual-Tree Discrete Wavelet Transform Based Multiple Description Video Coding","display_name":"3D Dual-Tree Discrete Wavelet Transform Based Multiple Description Video Coding","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2053804424","doi":"https://doi.org/10.5220/0005057701800185","mag":"2053804424"},"language":"en","primary_location":{"id":"doi:10.5220/0005057701800185","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005057701800185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications","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/A5100394829","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0001-8305-9291"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Huaqiao University and Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Huaqiao University and Xiamen University, China","institution_ids":["https://openalex.org/I119045251","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114170545","display_name":"Canhui Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canhui Cai","raw_affiliation_strings":["Huaqiao University, China"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103580985","display_name":"Li Li","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["Huaqiao University, China"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100394829"],"corresponding_institution_ids":["https://openalex.org/I119045251","https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11965585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"185"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9976000189781189,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9927999973297119,"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":0.7072327136993408},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6808261871337891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5780960321426392},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5624436140060425},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4965580105781555},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.46413013339042664},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.41601911187171936},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4109208583831787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3665724992752075},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3437243402004242},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23219913244247437},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.07832974195480347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072327136993408},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6808261871337891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5780960321426392},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5624436140060425},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4965580105781555},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.46413013339042664},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.41601911187171936},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4109208583831787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3665724992752075},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3437243402004242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23219913244247437},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.07832974195480347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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:10.5220/0005057701800185","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005057701800185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications","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":14,"referenced_works":["https://openalex.org/W1481203459","https://openalex.org/W1912739524","https://openalex.org/W1966132262","https://openalex.org/W1984877611","https://openalex.org/W1989458165","https://openalex.org/W2018332268","https://openalex.org/W2079227124","https://openalex.org/W2096102601","https://openalex.org/W2116160602","https://openalex.org/W2119764132","https://openalex.org/W2131952271","https://openalex.org/W2148037789","https://openalex.org/W2167507984","https://openalex.org/W2546487358"],"related_works":["https://openalex.org/W2380372197","https://openalex.org/W68308810","https://openalex.org/W2053682625","https://openalex.org/W1986475093","https://openalex.org/W2076239227","https://openalex.org/W2754441293","https://openalex.org/W1506615375","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W1967182499"],"abstract_inverted_index":{"A":[0],"3D":[1,94,122],"dual-tree":[2,95],"discrete":[3],"wavelet":[4,96],"transform":[5],"(DT-DWT)":[6],"based":[7],"multiple":[8,36,212],"description":[9,32,37,175,213],"video":[10,164,200,214],"coding":[11,38,151,215],"algorithm":[12,204],"is":[13,54,71,90,176,205],"proposed":[14,35,203],"to":[15,24,65,74,98,184,207],"combat":[16],"the":[17,34,50,67,78,81,86,121,128,145,150,159,186,196,202,210],"transmitting":[18],"error":[19],"or":[20,26],"packet":[21],"loss":[22],"due":[23],"Internet":[25],"wireless":[27],"network":[28],"channel":[29],"failure.":[30],"Each":[31],"of":[33,41,117,139,142,198],"scheme":[39],"consists":[40],"a":[42,57,93,161,169,178],"base":[43,68,83],"layer":[44,84,130],"and":[45,85,148],"an":[46],"enhancement":[47,115,129],"layer.":[48],"First,":[49],"input":[51,87],"image":[52,88],"sequence":[53,89],"encoded":[55,91],"by":[56,92,168,201,209],"standard":[58],"H.264":[59],"encoder":[60,97],"in":[61,158],"low":[62],"bit":[63],"rate":[64],"form":[66],"layer,":[69],"which":[70],"then":[72],"duplicated":[73],"each":[75],"description.":[76],"Second,":[77],"difference":[79],"between":[80],"reconstructed":[82,167,199],"produce":[99],"four":[100,106],"coefficient":[101],"trees.":[102],"After":[103],"noise-shaping,":[104],"these":[105],"trees":[107],"are":[108,156],"partitioned":[109],"into":[110],"two":[111,118],"groups,":[112],"individually":[113],"forming":[114],"layers":[116],"descriptions.":[119],"Since":[120],"DT-DWT":[123,143],"equips":[124],"28":[125],"directional":[126,140],"subbands,":[127],"can":[131,165,181],"be":[132,166,182],"coded":[133],"without":[134],"motion":[135],"estimation.":[136],"The":[137],"plenty":[138],"selectivity":[141],"solves":[144],"mismatch":[146],"problem":[147],"improves":[149],"efficiency.":[152],"If":[153,172],"all":[154],"descriptions":[155],"available":[157],"receiver,":[160],"high":[162],"quality":[163,197],"central":[170],"decoder.":[171],"only":[173],"one":[174],"received,":[177],"side":[179],"decoder":[180],"used":[183],"reconstruct":[185],"source":[187],"with":[188],"acceptable":[189],"quality.":[190],"Simulation":[191],"results":[192],"have":[193],"shown":[194],"that":[195,208],"superior":[206],"state-of-the-art":[211],"methods.":[216]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}