{"id":"https://openalex.org/W2513528543","doi":"https://doi.org/10.1109/icip.2016.7533043","title":"Temporal objectness: Model-free learning of object proposals in video","display_name":"Temporal objectness: Model-free learning of object proposals in video","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513528543","doi":"https://doi.org/10.1109/icip.2016.7533043","mag":"2513528543"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5100612023","display_name":"Liang Peng","orcid":"https://orcid.org/0000-0002-9831-2787"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liang Peng","raw_affiliation_strings":["Department of Computer Science, Utah State University, Logan, UT"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Utah State University, Logan, UT","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100626347","display_name":"Xiaojun Qi","orcid":"https://orcid.org/0000-0002-4034-8488"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojun Qi","raw_affiliation_strings":["Department of Computer Science, Utah State University, Logan, UT"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Utah State University, Logan, UT","institution_ids":["https://openalex.org/I121980950"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100612023"],"corresponding_institution_ids":["https://openalex.org/I121980950"],"apc_list":null,"apc_paid":null,"fwci":1.002,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83162435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3663","last_page":"3667"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.8134682178497314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7624197006225586},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7301284670829773},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6868237257003784},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.649747908115387},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5738696455955505},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5601927042007446},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5470524430274963},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5446760654449463},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5093261003494263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5060171484947205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4977121651172638},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4194890856742859},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28863823413848877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11127158999443054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134682178497314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7624197006225586},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7301284670829773},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6868237257003784},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.649747908115387},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5738696455955505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5601927042007446},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5470524430274963},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5446760654449463},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5093261003494263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5060171484947205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4977121651172638},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4194890856742859},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28863823413848877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11127158999443054},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1558057344","https://openalex.org/W1559046793","https://openalex.org/W1573546770","https://openalex.org/W1772076007","https://openalex.org/W1958328135","https://openalex.org/W1973054923","https://openalex.org/W1995444699","https://openalex.org/W1996326832","https://openalex.org/W2010181071","https://openalex.org/W2068730032","https://openalex.org/W2070019681","https://openalex.org/W2102605133","https://openalex.org/W2107634464","https://openalex.org/W2113201641","https://openalex.org/W2123602281","https://openalex.org/W2130306094","https://openalex.org/W2130325614","https://openalex.org/W2131625065","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2183053529","https://openalex.org/W2186094539","https://openalex.org/W2194002514","https://openalex.org/W2567978322","https://openalex.org/W6600313631","https://openalex.org/W6633313784","https://openalex.org/W6640833263","https://openalex.org/W6679349572","https://openalex.org/W6686121777","https://openalex.org/W6686583229"],"related_works":["https://openalex.org/W4386083130","https://openalex.org/W2117442182","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W1603736412","https://openalex.org/W3125517176","https://openalex.org/W2023355163","https://openalex.org/W2081707527","https://openalex.org/W4367623556","https://openalex.org/W4385998088"],"abstract_inverted_index":{"Intrinsic":[0],"natures":[1],"of":[2,7,39,50,80,138],"different":[3,26],"appearance":[4],"between":[5],"sub-regions":[6,27],"objects":[8],"and":[9,71,109,116],"non-objects":[10],"in":[11,25,28,136],"optical":[12,59],"flows":[13],"lead":[14],"to":[15,113],"more":[16],"visual":[17,23],"consistency":[18,56],"for":[19,37],"object":[20,93,118],"proposals.":[21],"Hence,":[22],"variations":[24],"video":[29,125],"sequences":[30],"over":[31,95],"time":[32],"is":[33,107],"a":[34,43,63,85,96,124],"good":[35,92],"indicator":[36],"likeliness":[38],"objects.":[40],"We":[41,61],"propose":[42],"method":[44,106],"that":[45,128],"dynamically":[46],"measures":[47],"the":[48,77,87,129],"objectness":[49,74,90],"each":[51,58],"proposal":[52],"by":[53],"exploiting":[54],"temporal":[55,78,89],"within":[57],"flow.":[60],"develop":[62],"block-based":[64],"feature":[65],"representation":[66],"using":[67,76],"object's":[68],"spatial":[69,82],"property":[70],"define":[72],"an":[73],"measure":[75],"changes":[79],"this":[81],"representation.":[83],"As":[84],"result,":[86],"proposed":[88,105,130],"learns":[91],"proposals":[94,119],"short":[97],"period":[98],"(e.g.,":[99],"less":[100],"than":[101],"1":[102],"second).":[103],"The":[104],"model-free":[108],"can":[110],"be":[111],"used":[112],"simultaneously":[114],"learn":[115],"track":[117],"without":[120],"training.":[121],"Experiments":[122],"on":[123],"dataset":[126],"shows":[127],"approach":[131],"significantly":[132],"outperforms":[133],"state-of-the-art":[134],"methods":[135],"terms":[137],"precision-recall.":[139]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
