{"id":"https://openalex.org/W2098608252","doi":"https://doi.org/10.1109/icip.2002.1038119","title":"Mesh-based motion estimation and compensation in the wavelet domain using a redundant transform","display_name":"Mesh-based motion estimation and compensation in the wavelet domain using a redundant transform","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2098608252","doi":"https://doi.org/10.1109/icip.2002.1038119","mag":"2098608252"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1038119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038119","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"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":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005118558","display_name":"Suxia Cui","orcid":"https://orcid.org/0000-0003-1152-3272"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suxia Cui","raw_affiliation_strings":["Department of Electrical and Computer Engineering Engineering Research Center, Mississippi State University, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Engineering Research Center, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319205","display_name":"Yonghui Wang","orcid":"https://orcid.org/0000-0003-4334-0921"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yonghui Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering Engineering Research Center, Mississippi State University, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Engineering Research Center, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078795882","display_name":"James E. Fowler","orcid":"https://orcid.org/0000-0003-2005-405X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.E. Fowler","raw_affiliation_strings":["Department of Electrical and Computer Engineering Engineering Research Center, Mississippi State University, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Engineering Research Center, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9987999796867371,"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/wavelet","display_name":"Wavelet","score":0.7488788366317749},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.7311189770698547},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6590818762779236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6533955931663513},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6334872841835022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6306593418121338},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.6236340999603271},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5822620987892151},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5159388184547424},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.5150970816612244},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5116753578186035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5068371891975403},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5037316679954529},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.4873088598251343},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.4739501476287842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4664470851421356},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.46374258399009705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39939773082733154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3780795931816101},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0666322112083435}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7488788366317749},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.7311189770698547},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6590818762779236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6533955931663513},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6334872841835022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6306593418121338},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.6236340999603271},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5822620987892151},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5159388184547424},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.5150970816612244},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5116753578186035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5068371891975403},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5037316679954529},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.4873088598251343},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4739501476287842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4664470851421356},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.46374258399009705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39939773082733154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3780795931816101},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0666322112083435},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2002.1038119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038119","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"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":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.11.3336","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.3336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.erc.msstate.edu/vail/pubs/2002/fowler05.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.84.9210","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.9210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.msstate.edu/~fowler/Publications/Papers/CWF2002.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1964560558","https://openalex.org/W2025817964","https://openalex.org/W2100564571","https://openalex.org/W2107468826","https://openalex.org/W2115981018","https://openalex.org/W2116988482","https://openalex.org/W2136017820","https://openalex.org/W2138520719","https://openalex.org/W2142276208","https://openalex.org/W2145325002","https://openalex.org/W2148593155","https://openalex.org/W2170134297"],"related_works":["https://openalex.org/W2059234650","https://openalex.org/W2362207432","https://openalex.org/W2085792030","https://openalex.org/W2391053410","https://openalex.org/W2377068990","https://openalex.org/W68308810","https://openalex.org/W2187477192","https://openalex.org/W2361819251","https://openalex.org/W2546919061","https://openalex.org/W2168173318"],"abstract_inverted_index":{"A":[0],"technique":[1,81],"is":[2,57,64],"presented":[3],"that":[4,75],"incorporates":[5],"an":[6,43],"irregular":[7],"triangle":[8],"mesh":[9],"into":[10],"wavelet-domain":[11],"motion-estimation":[12,93],"and":[13,94,102],"motion-compensation":[14,95],"using":[15,67],"a":[16,26,60,90],"shift-invariant":[17],"redundant":[18],"wavelet":[19,35,103],"transform.":[20],"Triangle":[21],"vertices":[22],"are":[23],"identified":[24],"by":[25],"simple":[27],"correlation":[28],"operator":[29],"locating":[30],"image":[31],"edges":[32],"in":[33,84,98],"the":[34,52,76,86,100],"subbands,":[36],"while":[37],"motion":[38],"compensation":[39],"takes":[40],"place":[41],"through":[42],"affine":[44],"transformation":[45],"mapping":[46],"triangles":[47],"from":[48],"one":[49],"frame":[50],"to":[51,59],"next.":[53],"The":[54],"motion-compensated":[55],"residual":[56],"downsampled":[58],"non-redundant":[61],"form":[62],"which":[63],"then":[65],"coded":[66],"any":[68],"wavelet-based":[69],"still-image":[70],"coder.":[71],"Experimental":[72],"results":[73],"indicate":[74],"combined":[77],"approach":[78],"outperforms":[79,89],"either":[80],"applied":[82],"separately,,":[83],"addition,":[85],"proposed":[87],"method":[88],"variety":[91],"of":[92],"approaches":[96],"operating":[97],"both":[99],"spatial":[101],"domains.":[104]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}