{"id":"https://openalex.org/W2975597238","doi":"https://doi.org/10.1109/tip.2019.2942543","title":"Collision-Free Video Synopsis Incorporating Object Speed and Size Changes","display_name":"Collision-Free Video Synopsis Incorporating Object Speed and Size Changes","publication_year":2019,"publication_date":"2019-09-25","ids":{"openalex":"https://openalex.org/W2975597238","doi":"https://doi.org/10.1109/tip.2019.2942543","mag":"2975597238","pmid":"https://pubmed.ncbi.nlm.nih.gov/31562093"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2942543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2942543","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5083221103","display_name":"Yongwei Nie","orcid":"https://orcid.org/0000-0002-8922-3205"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongwei Nie","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103005375","display_name":"Zhenkai Li","orcid":"https://orcid.org/0000-0002-8281-9436"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenkai Li","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043901952","display_name":"Zhensong Zhang","orcid":"https://orcid.org/0009-0001-7911-7564"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhensong Zhang","raw_affiliation_strings":["Noah\u2019s Ark Lab, Huawei Technologies Co., Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Noah\u2019s Ark Lab, Huawei Technologies Co., Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358770","display_name":"Qing Zhang","orcid":"https://orcid.org/0000-0001-5312-2800"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024328847","display_name":"Tiezheng Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiezheng Ma","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359489","display_name":"Hanqiu Sun","orcid":"https://orcid.org/0000-0002-3244-4111"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqiu Sun","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083221103"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.1257,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90278576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"1465","last_page":"1478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"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":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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":0.9980999827384949,"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":0.8306326270103455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6015270352363586},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5733361840248108},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.5612340569496155},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5502420663833618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5495695471763611},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5226311683654785},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.512516975402832},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.47842341661453247},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43897777795791626},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.42788130044937134},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2552216649055481},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24740135669708252},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.1918291449546814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8306326270103455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6015270352363586},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5733361840248108},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.5612340569496155},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5502420663833618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5495695471763611},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5226311683654785},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.512516975402832},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.47842341661453247},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43897777795791626},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.42788130044937134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2552216649055481},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24740135669708252},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.1918291449546814},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2942543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2942543","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31562093","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31562093","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1657093975","display_name":null,"funder_award_id":"D2190670","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"},{"id":"https://openalex.org/G2950332825","display_name":null,"funder_award_id":"201707010140","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G5679063874","display_name":null,"funder_award_id":"61602183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G718206406","display_name":null,"funder_award_id":"61802453","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W182982025","https://openalex.org/W1965621269","https://openalex.org/W1972113074","https://openalex.org/W2004201515","https://openalex.org/W2004980089","https://openalex.org/W2009471822","https://openalex.org/W2018197474","https://openalex.org/W2024501163","https://openalex.org/W2032674519","https://openalex.org/W2035866593","https://openalex.org/W2056760934","https://openalex.org/W2067440131","https://openalex.org/W2070490307","https://openalex.org/W2074975725","https://openalex.org/W2076039732","https://openalex.org/W2077688147","https://openalex.org/W2094998392","https://openalex.org/W2095988088","https://openalex.org/W2097647310","https://openalex.org/W2100994708","https://openalex.org/W2101309634","https://openalex.org/W2115060048","https://openalex.org/W2116388976","https://openalex.org/W2123718485","https://openalex.org/W2126718454","https://openalex.org/W2126802797","https://openalex.org/W2127992984","https://openalex.org/W2130416410","https://openalex.org/W2138081639","https://openalex.org/W2138309709","https://openalex.org/W2141210837","https://openalex.org/W2145037218","https://openalex.org/W2146425614","https://openalex.org/W2149525724","https://openalex.org/W2163527813","https://openalex.org/W2215880066","https://openalex.org/W2312637495","https://openalex.org/W2316539885","https://openalex.org/W2544804007","https://openalex.org/W2553196816","https://openalex.org/W2603823201","https://openalex.org/W2604792808","https://openalex.org/W2607326921","https://openalex.org/W2738285252","https://openalex.org/W2753900927","https://openalex.org/W2798554470","https://openalex.org/W2798970487","https://openalex.org/W2801383641","https://openalex.org/W2807663718","https://openalex.org/W2809374754","https://openalex.org/W2963227409","https://openalex.org/W4255451175","https://openalex.org/W6643435512","https://openalex.org/W6678929680","https://openalex.org/W6681162516","https://openalex.org/W6757342389"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W2370786670","https://openalex.org/W2357539252","https://openalex.org/W2162663958","https://openalex.org/W2548133455","https://openalex.org/W2135773442","https://openalex.org/W2377630204","https://openalex.org/W1507361256","https://openalex.org/W2032778808","https://openalex.org/W3179290367"],"abstract_inverted_index":{"This":[0],"paper":[1,62],"presents":[2],"a":[3,25,106,130,154],"new":[4],"surveillance":[5,26],"video":[6,27,38,107],"synopsis":[7,108,137,150],"method":[8,109],"which":[9,44],"performs":[10,111],"much":[11],"better":[12],"than":[13],"previous":[14,140],"approaches":[15,141],"in":[16],"terms":[17],"of":[18,36,60,76,169,174],"both":[19],"compression":[20],"ratio":[21],"and":[22,49,83,116,134],"artifact.":[23],"Previously,":[24],"was":[28],"usually":[29,143],"compressed":[30],"by":[31,70],"shifting":[32],"the":[33,41,54,72,77,85,125,160,172],"moving":[34],"objects":[35,86],"that":[37,64,110,142],"forward":[39],"along":[40],"time":[42],"axis,":[43],"inevitably":[45],"yielded":[46],"serious":[47],"collision":[48,93],"chronological":[50,98],"disorder":[51],"artifacts":[52,66],"between":[53],"shifted":[55],"objects.":[56],"The":[57],"main":[58],"observation":[59],"this":[61,102],"is":[63],"these":[65],"can":[67,87],"be":[68],"alleviated":[69],"changing":[71],"speed":[73,82,114],"or":[74,95],"size":[75,84,117],"objects,":[78],"since":[79],"with":[80],"varied":[81],"move":[88],"more":[89],"flexibly":[90],"to":[91,96,123,148,158],"avoid":[92],"points":[94],"keep":[97],"relationships.":[99],"Based":[100],"on":[101],"observation,":[103],"we":[104,152],"propose":[105],"object":[112],"shifting,":[113],"changing,":[115],"scaling":[118],"simultaneously.":[119],"We":[120],"show":[121],"how":[122],"integrate":[124],"three":[126],"heterogeneous":[127],"operations":[128],"into":[129],"single":[131],"optimization":[132,146,165],"framework":[133],"achieve":[135],"high-quality":[136],"results.":[138],"Unlike":[139],"use":[144],"alternative":[145],"strategies":[147],"solve":[149],"optimizations,":[151],"develop":[153],"Metropolis":[155],"sampling":[156],"algorithm":[157],"find":[159],"solution":[161],"for":[162],"our":[163,175],"three-variable":[164],"problem.":[166],"A":[167],"variety":[168],"experiments":[170],"demonstrate":[171],"effectiveness":[173],"method.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}