{"id":"https://openalex.org/W2064759377","doi":"https://doi.org/10.1109/icip.2014.7026167","title":"Dense interest features for video processing","display_name":"Dense interest features for video processing","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2064759377","doi":"https://doi.org/10.1109/icip.2014.7026167","mag":"2064759377"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/479437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071550534","display_name":"Roeland De Geest","orcid":"https://orcid.org/0000-0003-4897-7921"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Roeland De Geest","raw_affiliation_strings":["KU Leuven ESAT-PSI iMinds","KU Leuven, ESAT-PSI, iMinds"],"affiliations":[{"raw_affiliation_string":"KU Leuven ESAT-PSI iMinds","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, ESAT-PSI, iMinds","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074816094","display_name":"Tinne Tuytelaars","orcid":"https://orcid.org/0000-0003-3307-9723"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tinne Tuytelaars","raw_affiliation_strings":["KU Leuven ESAT-PSI iMinds","KU Leuven, ESAT-PSI, iMinds"],"affiliations":[{"raw_affiliation_string":"KU Leuven ESAT-PSI iMinds","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, ESAT-PSI, iMinds","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071550534"],"corresponding_institution_ids":["https://openalex.org/I39327780","https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":1.7071,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87601295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3954","issue":null,"first_page":"5771","last_page":"5775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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":0.9983999729156494,"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":0.7102288603782654},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6667457818984985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6294238567352295},{"id":"https://openalex.org/keywords/interest-point-detection","display_name":"Interest point detection","score":0.6034152507781982},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5853995084762573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5684658885002136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5218181014060974},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4748300015926361},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4531914293766022},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4353174865245819},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4350680708885193},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3175986409187317},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.21609246730804443},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14013215899467468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102288603782654},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6667457818984985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6294238567352295},{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.6034152507781982},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5853995084762573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5684658885002136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5218181014060974},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4748300015926361},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4531914293766022},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4353174865245819},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4350680708885193},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3175986409187317},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.21609246730804443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14013215899467468},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":2,"locations":[{"id":"doi:10.1109/icip.2014.7026167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/479437","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/479437","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE international conference on image processing - ICIP 2014, Paris, France, 27-30 October 2014","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/479437","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/479437","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE international conference on image processing - ICIP 2014, Paris, France, 27-30 October 2014","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1534763723","https://openalex.org/W1973166425","https://openalex.org/W1993229407","https://openalex.org/W2031489346","https://openalex.org/W2068611653","https://openalex.org/W2100916003","https://openalex.org/W2101194540","https://openalex.org/W2111308925","https://openalex.org/W2112020727","https://openalex.org/W2119799051","https://openalex.org/W2126574503","https://openalex.org/W2163267793","https://openalex.org/W2166294429","https://openalex.org/W2166742463","https://openalex.org/W2171896402","https://openalex.org/W2533739470"],"related_works":["https://openalex.org/W2000587207","https://openalex.org/W2785057145","https://openalex.org/W4211038350","https://openalex.org/W2122960030","https://openalex.org/W1773272891","https://openalex.org/W2798006533","https://openalex.org/W2346086351","https://openalex.org/W2066739829","https://openalex.org/W2943438544","https://openalex.org/W2944509217"],"abstract_inverted_index":{"We":[0,45],"propose":[1],"two":[2],"novel":[3],"feature":[4],"detection":[5],"methods":[6,54],"for":[7],"action":[8],"recognition,":[9],"based":[10],"on":[11],"the":[12,34,50],"dense":[13,27,42,64],"interest":[14,28,43],"points":[15,29],"described":[16],"by":[17],"Tuytelaars":[18],"[1].":[19],"The":[20],"first":[21],"one":[22],"is":[23],"an":[24,47],"extension":[25],"of":[26,49,52],"to":[30],"three":[31],"dimensions.":[32],"In":[33],"second":[35],"one,":[36],"trajectories":[37],"are":[38,69],"constructed":[39],"starting":[40],"from":[41],"points.":[44],"present":[46],"analysis":[48],"properties":[51],"these":[53],"and":[55],"conclude":[56],"that":[57],"both":[58],"give":[59],"higher":[60],"classification":[61],"accuracies":[62],"than":[63],"sampling":[65],"when":[66],"less":[67],"features":[68],"used.":[70]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
