{"id":"https://openalex.org/W2062904527","doi":"https://doi.org/10.1142/s0219467804001506","title":"INTER-FRAME PREDICTION OF MEDICAL AND VIDEOPHONE SEQUENCES: A DEFORMABLE TRIANGLE-BASED APPROACH","display_name":"INTER-FRAME PREDICTION OF MEDICAL AND VIDEOPHONE SEQUENCES: A DEFORMABLE TRIANGLE-BASED APPROACH","publication_year":2004,"publication_date":"2004-07-01","ids":{"openalex":"https://openalex.org/W2062904527","doi":"https://doi.org/10.1142/s0219467804001506","mag":"2062904527"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467804001506","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001506","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5039711119","display_name":"Mehran Yazdi","orcid":null},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"MEHRAN YAZDI","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Laval University, Ste-Foy, Qu\u00e9bec, G1K 7P4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Laval University, Ste-Foy, Qu\u00e9bec, G1K 7P4, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056399701","display_name":"A. Zaccarin","orcid":"https://orcid.org/0009-0002-1892-2428"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"ANDRE ZACCARIN","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Laval University, Ste-Foy, Qu\u00e9bec, G1K 7P4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Laval University, Ste-Foy, Qu\u00e9bec, G1K 7P4, Canada","institution_ids":["https://openalex.org/I43406934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039711119"],"corresponding_institution_ids":["https://openalex.org/I43406934"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13639903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"04","issue":"03","first_page":"453","last_page":"467"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/inter-frame","display_name":"Inter frame","score":0.7219972610473633},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6021602749824524},{"id":"https://openalex.org/keywords/triangle-mesh","display_name":"Triangle mesh","score":0.5979724526405334},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5784816741943359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5632071495056152},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.5427345037460327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49706342816352844},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4919407069683075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47930803894996643},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4772862493991852},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.46214377880096436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46158578991889954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44334739446640015},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.20833033323287964},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.19019365310668945},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.18919432163238525},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1726773977279663}],"concepts":[{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.7219972610473633},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6021602749824524},{"id":"https://openalex.org/C194401833","wikidata":"https://www.wikidata.org/wiki/Q3456889","display_name":"Triangle mesh","level":3,"score":0.5979724526405334},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5784816741943359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5632071495056152},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.5427345037460327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49706342816352844},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4919407069683075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47930803894996643},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4772862493991852},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.46214377880096436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46158578991889954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44334739446640015},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.20833033323287964},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.19019365310668945},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.18919432163238525},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1726773977279663},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467804001506","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001506","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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":9,"referenced_works":["https://openalex.org/W2066651826","https://openalex.org/W2099231374","https://openalex.org/W2100784181","https://openalex.org/W2116449393","https://openalex.org/W2122882504","https://openalex.org/W2146808563","https://openalex.org/W2154988097","https://openalex.org/W2163219940","https://openalex.org/W2171842964"],"related_works":["https://openalex.org/W1913366499","https://openalex.org/W2002497870","https://openalex.org/W1967654336","https://openalex.org/W2141859333","https://openalex.org/W2163219940","https://openalex.org/W2729850138","https://openalex.org/W2060632806","https://openalex.org/W1600503600","https://openalex.org/W1579940903","https://openalex.org/W2094244527"],"abstract_inverted_index":{"Motion":[0],"compensation":[1],"using":[2,105],"deformable":[3],"triangle":[4,67],"patches":[5,109],"has":[6],"been":[7],"successfully":[8],"used":[9,51,74],"for":[10,26,32,69],"low":[11],"bit":[12],"rate":[13],"coding":[14,28],"of":[15,29,113,121],"videophone":[16],"sequences.":[17],"They":[18],"were":[19,50],"also":[20],"shown":[21],"to":[22,64,91,126],"be":[23,40],"particularly":[24],"efficient":[25],"interframe":[27],"MRI":[30],"sequences,":[31],"which":[33,70],"the":[34,79,94,111,114,119],"difference":[35],"between":[36],"image":[37,76,116],"slices":[38],"can":[39],"well":[41],"modeled":[42],"by":[43],"locally":[44],"affine":[45],"deformations.":[46],"Regular":[47],"triangular":[48,108,129],"meshes":[49],"in":[52,75,96],"previous":[53],"works.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"a":[60,66,127],"quadtree":[61],"decomposition":[62],"algorithm":[63],"generate":[65],"mesh":[68],"smaller":[71],"triangles":[72],"are":[73,88],"areas":[77,92],"where":[78,93],"motion":[80],"or":[81],"deformation":[82],"is":[83,99],"more":[84,100],"complex.":[85],"Grid":[86],"points":[87,123],"recursively":[89],"added":[90],"reduction":[95],"prediction":[97],"error":[98],"significant.":[101],"Results":[102],"show":[103],"that":[104],"variable":[106],"size":[107],"increases":[110],"PSNR":[112],"motion-compensated":[115],"while":[117],"reducing":[118],"number":[120],"grid":[122],"when":[124],"compared":[125],"regular":[128],"mesh.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}