{"id":"https://openalex.org/W2149178260","doi":"https://doi.org/10.1145/1282280.1282315","title":"Using depth features to retrieve monocular video shots","display_name":"Using depth features to retrieve monocular video shots","publication_year":2007,"publication_date":"2007-07-09","ids":{"openalex":"https://openalex.org/W2149178260","doi":"https://doi.org/10.1145/1282280.1282315","mag":"2149178260"},"language":"en","primary_location":{"id":"doi:10.1145/1282280.1282315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","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/A5055402344","display_name":"Ralph Ewerth","orcid":"https://orcid.org/0000-0003-0918-6297"},"institutions":[{"id":"https://openalex.org/I161103922","display_name":"Philipps University of Marburg","ror":"https://ror.org/01rdrb571","country_code":"DE","type":"education","lineage":["https://openalex.org/I161103922"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralph Ewerth","raw_affiliation_strings":["University of Marburg, Marburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Marburg, Marburg, Germany","institution_ids":["https://openalex.org/I161103922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061516002","display_name":"M. Schwalb","orcid":null},"institutions":[{"id":"https://openalex.org/I161103922","display_name":"Philipps University of Marburg","ror":"https://ror.org/01rdrb571","country_code":"DE","type":"education","lineage":["https://openalex.org/I161103922"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Schwalb","raw_affiliation_strings":["University of Marburg, Marburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Marburg, Marburg, Germany","institution_ids":["https://openalex.org/I161103922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065021020","display_name":"Bernd Freisleben","orcid":"https://orcid.org/0000-0002-7205-8389"},"institutions":[{"id":"https://openalex.org/I161103922","display_name":"Philipps University of Marburg","ror":"https://ror.org/01rdrb571","country_code":"DE","type":"education","lineage":["https://openalex.org/I161103922"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernd Freisleben","raw_affiliation_strings":["University of Marburg, Marburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Marburg, Marburg, Germany","institution_ids":["https://openalex.org/I161103922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161103922"],"apc_list":null,"apc_paid":null,"fwci":1.5767,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84619281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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":0.8071879744529724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7828890085220337},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7170314192771912},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6668576598167419},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.5718326568603516},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5224132537841797},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46992409229278564},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4485534131526947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35460197925567627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2690068781375885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071879744529724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7828890085220337},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7170314192771912},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6668576598167419},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.5718326568603516},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5224132537841797},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46992409229278564},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4485534131526947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35460197925567627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2690068781375885},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1282280.1282315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1505712405","https://openalex.org/W1509095000","https://openalex.org/W1593924129","https://openalex.org/W1976595761","https://openalex.org/W2010363308","https://openalex.org/W2080629029","https://openalex.org/W2109506130","https://openalex.org/W2110215948","https://openalex.org/W2118877769","https://openalex.org/W2119288237","https://openalex.org/W2126017203","https://openalex.org/W2130148674","https://openalex.org/W2137568841","https://openalex.org/W2151996626","https://openalex.org/W2153677638","https://openalex.org/W2158211626","https://openalex.org/W2171074980","https://openalex.org/W2209124607","https://openalex.org/W2990138404","https://openalex.org/W4235111023"],"related_works":["https://openalex.org/W2310668644","https://openalex.org/W2010112831","https://openalex.org/W1841708028","https://openalex.org/W2976072917","https://openalex.org/W4256328576","https://openalex.org/W1997806577","https://openalex.org/W3210711677","https://openalex.org/W4200218943","https://openalex.org/W3111845905","https://openalex.org/W3010374521"],"abstract_inverted_index":{"In":[0,38],"recent":[1],"years,":[2],"many":[3],"features":[4,47,128,161],"have":[5],"been":[6,25,65],"suggested":[7,66,119],"to":[8,17,27,67,120,131,136],"facilitate":[9],"the":[10,43,76,81,88,100,125,137,147,155,158],"task":[11],"of":[12,34,45,83,99,103,141,157],"video":[13,36,49,84,133,151,163],"retrieval.":[14,164],"However,":[15],"up":[16],"now,":[18],"three-dimensional":[19,138],"(3D)":[20],"scene":[21,139],"information":[22],"has":[23,64],"not":[24],"utilized":[26],"retrieve":[28,132],"shots":[29,85,134],"from":[30],"a":[31,60,72,107,142],"database":[32],"consisting":[33],"monocular":[35],"sequences.":[37],"this":[39,104],"paper,":[40],"we":[41,95],"propose":[42],"use":[44],"depth":[46,53,89,108,122,127,160],"for":[48,86,146,162],"retrieval":[50],"purposes.":[51],"Our":[52],"feature":[54,90],"extraction":[55,91],"approach":[56],"is":[57,93,111,118],"based":[58],"on":[59],"method":[61,92],"that":[62],"originally":[63],"scan":[68],"3D":[69],"objects":[70],"with":[71],"single":[73],"camera":[74],"exploiting":[75],"motion":[77],"parallax.":[78],"To":[79],"increase":[80],"number":[82],"which":[87],"applicable,":[94],"present":[96],"an":[97,114],"extension":[98],"self-calibration":[101],"algorithm":[102],"method.":[105],"Furthermore,":[106],"map":[109],"representation":[110],"presented":[112],"and":[113],"adequate":[115],"distance":[116],"measure":[117],"compare":[121],"maps.":[123],"Finally,":[124],"extracted":[126],"are":[129],"used":[130],"according":[135],"content":[140],"shot.":[143],"Experimental":[144],"results":[145],"comprehensive":[148],"TRECVID":[149],"2005":[150],"data":[152],"set":[153],"demonstrate":[154],"usefulness":[156],"proposed":[159]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}