{"id":"https://openalex.org/W2114405433","doi":"https://doi.org/10.1109/icme.2005.1521399","title":"Video Quality Classsification Based Home Video Segmentation","display_name":"Video Quality Classsification Based Home Video Segmentation","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W2114405433","doi":"https://doi.org/10.1109/icme.2005.1521399","mag":"2114405433"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","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/A5030727063","display_name":"Si Wu","orcid":"https://orcid.org/0000-0002-6346-7359"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Wu","raw_affiliation_strings":["Department of Computer Science, Jinan University, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangdong, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081165078","display_name":"Yufei Ma","orcid":"https://orcid.org/0000-0002-9788-7984"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Fei Ma","raw_affiliation_strings":["Microsoft Research Asia, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hong-Jiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Jiang Zhang","raw_affiliation_strings":["Microsoft Research Asia, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2824,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81118464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T13579","display_name":"Image and Video Stabilization","score":0.9993000030517578,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9979000091552734,"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":0.8013511896133423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7874441146850586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7639633417129517},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6166470646858215},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6010535359382629},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.593632698059082},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5030660033226013},{"id":"https://openalex.org/keywords/video-camera","display_name":"Video camera","score":0.4783989191055298},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.4665740728378296},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.43394023180007935},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4305022358894348},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.42506885528564453},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.244266539812088},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1469287872314453},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06647893786430359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8013511896133423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7874441146850586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7639633417129517},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6166470646858215},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6010535359382629},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.593632698059082},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5030660033226013},{"id":"https://openalex.org/C2778852477","wikidata":"https://www.wikidata.org/wiki/Q313614","display_name":"Video camera","level":2,"score":0.4783989191055298},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.4665740728378296},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.43394023180007935},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4305022358894348},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.42506885528564453},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.244266539812088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1469287872314453},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06647893786430359},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2005.1521399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","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":15,"referenced_works":["https://openalex.org/W175058090","https://openalex.org/W1569998566","https://openalex.org/W1908593991","https://openalex.org/W1989478783","https://openalex.org/W2061781940","https://openalex.org/W2108322535","https://openalex.org/W2138745909","https://openalex.org/W2139212933","https://openalex.org/W2141445492","https://openalex.org/W2144385786","https://openalex.org/W2162811356","https://openalex.org/W2282078507","https://openalex.org/W3193477162","https://openalex.org/W4256109050","https://openalex.org/W6633922797"],"related_works":["https://openalex.org/W4285350705","https://openalex.org/W2548747278","https://openalex.org/W1579940903","https://openalex.org/W2358300437","https://openalex.org/W3161024829","https://openalex.org/W1988704969","https://openalex.org/W4247116801","https://openalex.org/W2366349316","https://openalex.org/W2104498512","https://openalex.org/W2593865906"],"abstract_inverted_index":{"Home":[0],"videos":[1],"often":[2],"have":[3],"some":[4],"abnormal":[5],"camera":[6,10,14,72,119],"motions,":[7,15],"such":[8],"as":[9,116],"shaking":[11],"and":[12,28,66,82,109],"irregular":[13],"which":[16],"cause":[17],"the":[18,68,91,125],"degradation":[19],"of":[20,62,111,118,124],"visual":[21],"quality.":[22],"To":[23],"remove":[24],"bad":[25],"quality":[26,55],"segments":[27,105,113],"automatic":[29],"stabilize":[30],"shaky":[31],"ones":[32],"are":[33,74],"necessary":[34],"steps":[35],"for":[36,49],"home":[37,50],"video":[38,51,54,101],"archiving.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"proposed":[44,126],"a":[45,93],"novel":[46],"segmentation":[47],"algorithm":[48],"based":[52],"on":[53,90],"classification.":[56],"According":[57],"to":[58,99],"three":[59],"important":[60],"properties":[61],"motion,":[63],"speed,":[64],"direction,":[65],"acceleration,":[67],"effects":[69],"caused":[70],"by":[71,131],"motion":[73,120],"classified":[75],"into":[76,103],"four":[77],"categories:":[78],"blurred,":[79],"shaky,":[80],"inconsistent":[81],"stable":[83],"using":[84],"support":[85],"vector":[86],"machines":[87],"(SVMs).":[88],"Based":[89],"classification,":[92],"multi-scale":[94],"sliding":[95],"window":[96],"is":[97,114],"employed":[98],"parse":[100],"sequence":[102],"different":[104],"along":[106],"time":[107],"axis,":[108],"each":[110],"these":[112],"labeled":[115],"one":[117],"effects.":[121],"The":[122],"effectiveness":[123],"approach":[127],"has":[128],"been":[129],"validated":[130],"extensive":[132],"experiments.":[133]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
