{"id":"https://openalex.org/W2159776223","doi":"https://doi.org/10.1109/icme.2007.4285061","title":"Depth Map Generation for 2D-to-3D Conversion by Short-Term Motion Assisted Color Segmentation","display_name":"Depth Map Generation for 2D-to-3D Conversion by Short-Term Motion Assisted Color Segmentation","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2159776223","doi":"https://doi.org/10.1109/icme.2007.4285061","mag":"2159776223"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4285061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4285061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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/A5101547997","display_name":"Yu-Lin Chang","orcid":"https://orcid.org/0000-0002-2840-0052"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Lin Chang","raw_affiliation_strings":["DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003206075","display_name":"Chih-Ying Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Ying Fang","raw_affiliation_strings":["DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019875333","display_name":"Li-Fu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Fu Ding","raw_affiliation_strings":["DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109568761","display_name":"Shaoyi Chen","orcid":"https://orcid.org/0009-0001-8582-1363"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shao-Yi Chen","raw_affiliation_strings":["DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071031607","display_name":"Liang\u2010Gee Chen","orcid":"https://orcid.org/0000-0001-9746-9355"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Gee Chen","raw_affiliation_strings":["DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"DSP/IC Design Lab, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101547997"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":5.8421,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96475528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1958","last_page":"1961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9968000054359436,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.868569016456604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8550574779510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7123019099235535},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6139817833900452},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5399968028068542},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4675501883029938},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44969895482063293},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.43612104654312134},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.421970933675766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24141255021095276}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.868569016456604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8550574779510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123019099235535},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6139817833900452},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5399968028068542},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4675501883029938},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44969895482063293},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.43612104654312134},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.421970933675766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24141255021095276}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2007.4285061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4285061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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":9,"referenced_works":["https://openalex.org/W1506816029","https://openalex.org/W1998739300","https://openalex.org/W2021387336","https://openalex.org/W2040398869","https://openalex.org/W2137277826","https://openalex.org/W2169162190","https://openalex.org/W2170405326","https://openalex.org/W2534461033","https://openalex.org/W4255706547"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"This":[0],"paper":[1],"presented":[2],"a":[3,32],"novel":[4],"depth":[5,23,73,94],"map":[6,74,95],"generation":[7],"method":[8,30],"-":[9],"the":[10,18,38,47,53,57,64,72,81,93,98],"short-term":[11],"motion":[12,39,44,58,84],"assisted":[13],"color":[14],"segmentation,":[15],"which":[16],"combines":[17],"pictorial,":[19],"monocular":[20],"and":[21,85,90,100],"binocular":[22],"cues":[24],"of":[25,83,92],"human":[26],"vision.":[27],"The":[28,76],"proposed":[29],"utilizes":[31],"motion/edge":[33],"registration":[34],"technique":[35],"to":[36],"avoid":[37],"jitter":[40],"error":[41],"in":[42,97],"common":[43],"segmentation.":[45],"And":[46],"motion/image":[48],"segment":[49],"adaptation":[50,82],"algorithm":[51,67],"matches":[52],"connected":[54,65],"components":[55],"with":[56],"segments.":[59],"Even":[60],"for":[61,71],"static":[62],"scene,":[63],"component":[66],"is":[68],"still":[69],"working":[70],"generation.":[75],"experimental":[77],"results":[78],"show":[79],"that":[80],"image":[86],"segmentation":[87],"improves":[88],"quality":[89],"smoothness":[91],"both":[96],"spatial":[99],"temporal":[101],"domain.":[102]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
