{"id":"https://openalex.org/W2109807313","doi":"https://doi.org/10.1109/icme.2008.4607487","title":"Analysis of spatio-temporal prediction methods in 4D volumetric medical image datasets","display_name":"Analysis of spatio-temporal prediction methods in 4D volumetric medical image datasets","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2109807313","doi":"https://doi.org/10.1109/icme.2008.4607487","mag":"2109807313"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2008.4607487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","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/A5053483021","display_name":"Uwe-Erik Martin","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe-Erik Martin","raw_affiliation_strings":["Siemens AG, Medical Solutions, Image and Knowledge Management, Erlangen, Germany","Image & Knowledge Manage., Siemens AG, Erlangen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG, Medical Solutions, Image and Knowledge Management, Erlangen, Germany","institution_ids":["https://openalex.org/I1325886976"]},{"raw_affiliation_string":"Image & Knowledge Manage., Siemens AG, Erlangen","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andre Kaup","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstra\u00dfe 7, 91058, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstra\u00dfe 7, 91058, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.71,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74262988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13 16","issue":null,"first_page":"525","last_page":"528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9990000128746033,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9943000078201294,"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":0.8256514072418213},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.687362790107727},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5765761733055115},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5444546341896057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5283851027488708},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5146632790565491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4627997577190399},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4332905411720276},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.41578882932662964},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4130276143550873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3550582826137543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33738476037979126},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29443681240081787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07751032710075378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256514072418213},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.687362790107727},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5765761733055115},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5444546341896057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5283851027488708},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5146632790565491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4627997577190399},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4332905411720276},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.41578882932662964},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4130276143550873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3550582826137543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33738476037979126},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29443681240081787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07751032710075378},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2008.4607487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.142.3242","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.3242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lnt.de/LMS/publications/web/lnt2008_15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1909138541","https://openalex.org/W2101173850","https://openalex.org/W2118007167","https://openalex.org/W2142994166","https://openalex.org/W2542447523"],"related_works":["https://openalex.org/W3021755553","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2129829718","https://openalex.org/W1843792225","https://openalex.org/W2751842002"],"abstract_inverted_index":{"Due":[0],"to":[1],"the":[2,8],"huge":[3],"amount":[4],"of":[5,11,17,35,38,49],"data":[6,19],"and":[7],"increasing":[9],"utilization":[10],"4D":[12,32,67],"medical":[13,31],"image":[14,69],"processing,":[15],"compression":[16,51],"such":[18,53],"sets":[20],"is":[21],"essential.":[22],"Unlike":[23],"moving":[24],"3D":[25],"objects":[26],"in":[27,43],"computer":[28],"graphic":[29],"applications,":[30],"datasets":[33],"consist":[34],"a":[36,58],"number":[37],"sampled":[39],"volume":[40],"elements,":[41],"varying":[42],"time.":[44],"Based":[45],"on":[46],"an":[47],"analysis":[48],"H.264":[50],"for":[52,66],"data,":[54],"this":[55,75],"paper":[56],"presents":[57],"spatio-temporal":[59],"prediction":[60,65,81],"scheme":[61],"leveraging":[62],"effective":[63],"block-based":[64],"volumetric":[68],"data.":[70],"Experimental":[71],"results":[72,82],"show":[73],"that":[74],"new":[76],"spatiotemporal":[77],"approach":[78],"achieves":[79],"better":[80],"than":[83],"pure":[84],"spatial":[85],"or":[86],"temporal":[87],"schemes.":[88]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}