{"id":"https://openalex.org/W2399330161","doi":"https://doi.org/10.1007/978-3-319-25159-2_78","title":"A Temporal-Compress and Shorter SIFT Research on Web Videos","display_name":"A Temporal-Compress and Shorter SIFT Research on Web Videos","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2399330161","doi":"https://doi.org/10.1007/978-3-319-25159-2_78","mag":"2399330161"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25159-2_78","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25159-2_78","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-25159-2_78","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068185303","display_name":"Yingying Zhu","orcid":"https://orcid.org/0000-0002-3475-6186"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingying Zhu","raw_affiliation_strings":["School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058771461","display_name":"Chuanhua Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanhua Jiang","raw_affiliation_strings":["School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640277","display_name":"Xiaoyan Huang","orcid":"https://orcid.org/0000-0003-4240-9042"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyan Huang","raw_affiliation_strings":["Oracle Research and Development Center Shenzhen Co., Ltd, Shenzhen, 518057, China"],"affiliations":[{"raw_affiliation_string":"Oracle Research and Development Center Shenzhen Co., Ltd, Shenzhen, 518057, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052775723","display_name":"Zhijiao Xiao","orcid":"https://orcid.org/0000-0002-9664-821X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijiao Xiao","raw_affiliation_strings":["School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086801574","display_name":"Sheng-hua Zhong","orcid":"https://orcid.org/0000-0002-7524-5999"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghua Zhong","raw_affiliation_strings":["School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068185303"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19439466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"833","last_page":"843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10627","display_name":"Advanced Image and Video Retrieval 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/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9966999888420105,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9458253383636475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8427638411521912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6263288259506226},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5937500596046448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.526422917842865},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.492842435836792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.463100403547287},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3650127053260803}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9458253383636475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427638411521912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6263288259506226},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5937500596046448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.526422917842865},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.492842435836792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.463100403547287},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3650127053260803},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-25159-2_78","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25159-2_78","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-25159-2_78","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25159-2_78","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1864907493","https://openalex.org/W1969932190","https://openalex.org/W1981781955","https://openalex.org/W2027770385","https://openalex.org/W2033379850","https://openalex.org/W2039381083","https://openalex.org/W2081787647","https://openalex.org/W2111654460","https://openalex.org/W2115328784","https://openalex.org/W2117215414","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2126060993","https://openalex.org/W2138476053","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2539731878"],"related_works":["https://openalex.org/W2049930962","https://openalex.org/W1996690921","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745"],"abstract_inverted_index":{"The":[0],"large-scale":[1],"video":[2,54,116],"data":[3],"on":[4,85,115],"the":[5,26,68,75,89,92,106,122,134],"web":[6,36,71],"contain":[7],"a":[8,31,52,57],"lot":[9],"of":[10,17,70,82,91,124],"semantics,":[11],"which":[12,62,119],"are":[13,95],"an":[14],"important":[15,33],"part":[16],"semantic":[18],"web.":[19],"Video":[20],"descriptors":[21],"can":[22,63,108,143],"usually":[23],"represent":[24,67],"somewhat":[25],"semantics.":[27],"Thus,":[28],"they":[29],"play":[30],"very":[32],"role":[34],"in":[35,79],"multimedia":[37],"content":[38],"analysis,":[39],"such":[40],"as":[41],"Scale-invariant":[42],"feature":[43],"transform":[44],"(SIFT)":[45],"feature.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"proposed":[51],"new":[53],"descriptor,":[55],"called":[56],"temporal-compress":[58],"and":[59,65,131,136,147],"shorter":[60,93],"SIFT(TC-S-SIFT)":[61],"efficiently":[64],"effectively":[66],"semantics":[69],"videos.":[72],"By":[73],"omitting":[74],"least":[76],"discriminability":[77],"orientation":[78],"three":[80],"stages":[81],"standard":[83],"SIFT":[84,94,107,113],"every":[86],"representative":[87],"frame,":[88],"dimensions":[90],"reduced":[96],"from":[97],"128-dimension":[98],"to":[99,101,127],"96-dimension":[100],"save":[102],"space":[103],"storage.":[104],"Then,":[105],"be":[109],"compressed":[110],"by":[111],"tracing":[112],"features":[114,126],"temporal":[117],"domain,":[118],"highly":[120],"compress":[121],"quantity":[123],"local":[125],"reduce":[128],"visual":[129],"redundancy,":[130],"keep":[132],"basically":[133],"robustness":[135],"discrimination.":[137],"Experimental":[138],"results":[139],"show":[140],"our":[141],"method":[142],"yield":[144],"comparable":[145],"accuracy":[146],"compact":[148],"storage":[149],"size.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
