{"id":"https://openalex.org/W1964902387","doi":"https://doi.org/10.1109/icip.2013.6738874","title":"Motion blur for motion segmentation","display_name":"Motion blur for motion segmentation","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1964902387","doi":"https://doi.org/10.1109/icip.2013.6738874","mag":"1964902387"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 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":null,"display_name":"C. Paramanand","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Paramanand","raw_affiliation_strings":["Department of Electrical Engineering Indian Institute of Technology Madras, Chennai, India","[Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India]","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033832521","display_name":"A. N. Rajagopalan","orcid":"https://orcid.org/0000-0002-0006-6961"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. N. Rajagopalan","raw_affiliation_strings":["Department of Electrical Engineering Indian Institute of Technology Madras, Chennai, India","[Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India]","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.6236,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66206769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4244","last_page":"4248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8511661887168884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8042328953742981},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.7582705020904541},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5765531063079834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5660438537597656},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5443342328071594},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.491342693567276},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45904678106307983},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4548712968826294},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4355362057685852},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.42392003536224365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32372158765792847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28443217277526855},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22936561703681946},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.15718993544578552},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.07787647843360901},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.06090918183326721}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8511661887168884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8042328953742981},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.7582705020904541},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5765531063079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5660438537597656},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5443342328071594},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.491342693567276},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45904678106307983},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4548712968826294},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4355362057685852},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42392003536224365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32372158765792847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28443217277526855},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22936561703681946},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.15718993544578552},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.07787647843360901},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.06090918183326721},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1598281290","https://openalex.org/W1598936309","https://openalex.org/W1821835260","https://openalex.org/W1895439721","https://openalex.org/W2044965577","https://openalex.org/W2052311585","https://openalex.org/W2055616670","https://openalex.org/W2072921527","https://openalex.org/W2078121638","https://openalex.org/W2078527024","https://openalex.org/W2085261163","https://openalex.org/W2099770336","https://openalex.org/W2112456472","https://openalex.org/W2118154608","https://openalex.org/W2121689659","https://openalex.org/W2129247234","https://openalex.org/W2134856340","https://openalex.org/W2140266075","https://openalex.org/W2142782401","https://openalex.org/W2144201100","https://openalex.org/W2149802889","https://openalex.org/W2165746464","https://openalex.org/W6635527474","https://openalex.org/W6635591035","https://openalex.org/W6639193804","https://openalex.org/W6661387384","https://openalex.org/W6669834990","https://openalex.org/W6681053624","https://openalex.org/W6681192030","https://openalex.org/W6684531174"],"related_works":["https://openalex.org/W2094004415","https://openalex.org/W2124350473","https://openalex.org/W2809398103","https://openalex.org/W2189446904","https://openalex.org/W2147326311","https://openalex.org/W1610044448","https://openalex.org/W2140292627","https://openalex.org/W2111547392","https://openalex.org/W2564723179","https://openalex.org/W1981567325"],"abstract_inverted_index":{"In":[0],"this":[1,113],"paper,":[2],"we":[3,59,89],"develop":[4,90],"a":[5,22,56,75,91],"method":[6,92],"for":[7],"motion":[8,19,32,62],"segmentation":[9,115],"using":[10,64],"blur":[11,14,48,63,78,105],"kernels.":[12],"A":[13],"kernel":[15],"represents":[16],"the":[17,26,30,34,44,47,71,104,119,123],"apparent":[18],"undergone":[20],"by":[21,116],"scene":[23,37],"point":[24],"in":[25],"image":[27,53],"plane.":[28],"When":[29],"relative":[31,72,99],"between":[33],"camera":[35],"and":[36,121],"is":[38],"not":[39],"restricted":[40],"to":[41,93,97],"fronto-parallel":[42],"translations,":[43],"shape":[45],"of":[46,77],"kernels":[49,79,106],"can":[50],"vary":[51],"across":[52,86],"points.":[54],"For":[55],"dynamic":[57],"scene,":[58],"effectively":[60],"model":[61],"transformation":[65],"spread":[66],"functions":[67],"(TSFs)":[68],"which":[69],"represent":[70],"motions.":[73],"Given":[74],"set":[76],"that":[80],"are":[81],"estimated":[82],"at":[83],"different":[84],"points":[85],"an":[87],"image,":[88],"segment":[94],"them":[95],"according":[96],"their":[98,109],"motion.":[100],"We":[101,111],"initially":[102],"group":[103],"based":[107],"on":[108],"`compatibility'.":[110],"refine":[112],"initial":[114],"jointly":[117],"estimating":[118],"TSF":[120],"removing":[122],"outliers.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
