{"id":"https://openalex.org/W2070812993","doi":"https://doi.org/10.1109/icce-berlin.2014.7034336","title":"Object detection in quantized feature space","display_name":"Object detection in quantized feature space","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2070812993","doi":"https://doi.org/10.1109/icce-berlin.2014.7034336","mag":"2070812993"},"language":"en","primary_location":{"id":"doi:10.1109/icce-berlin.2014.7034336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2014.7034336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin)","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/A5078301379","display_name":"Christopher Bulla","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christopher Bulla","raw_affiliation_strings":["Institut f\u00fcr N achrichtentechnik, RWTH Aachen University, Aachen, Germany","Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr N achrichtentechnik, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany#TAB#","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070664242","display_name":"Bhomik Luthra","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bhomik Luthra","raw_affiliation_strings":["Institut f\u00fcr N achrichtentechnik, RWTH Aachen University, Aachen, Germany","Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr N achrichtentechnik, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany#TAB#","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112041134","display_name":"Ningqing Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ningqing Qian","raw_affiliation_strings":["Institut f\u00fcr N achrichtentechnik, RWTH Aachen University, Aachen, Germany","Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr N achrichtentechnik, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany#TAB#","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078301379"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1331058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"394"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9969000220298767,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.731874942779541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098667621612549},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6989388465881348},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6840134263038635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6390585899353027},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6171677112579346},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5912604928016663},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5611394047737122},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.507604718208313},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5042198896408081},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4912518858909607},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.4498443305492401},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43781131505966187},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.43447959423065186},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4307047426700592},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4289160966873169},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4028022289276123},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3968372046947479},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.38836565613746643},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34490853548049927},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22251152992248535}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.731874942779541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098667621612549},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6989388465881348},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6840134263038635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6390585899353027},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6171677112579346},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5912604928016663},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5611394047737122},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.507604718208313},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5042198896408081},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4912518858909607},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.4498443305492401},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43781131505966187},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.43447959423065186},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4307047426700592},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4289160966873169},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4028022289276123},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3968372046947479},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.38836565613746643},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34490853548049927},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22251152992248535},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/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/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/icce-berlin.2014.7034336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2014.7034336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W2001775015","https://openalex.org/W2059412355","https://openalex.org/W2085261163","https://openalex.org/W2127218421","https://openalex.org/W2145862222","https://openalex.org/W2151103935","https://openalex.org/W2155803963","https://openalex.org/W2168356304","https://openalex.org/W3097096317","https://openalex.org/W6636494156"],"related_works":["https://openalex.org/W2158102958","https://openalex.org/W2086564093","https://openalex.org/W1995462736","https://openalex.org/W2938717424","https://openalex.org/W2028757524","https://openalex.org/W2548286644","https://openalex.org/W2009049007","https://openalex.org/W2588241640","https://openalex.org/W2045213079","https://openalex.org/W2465112410"],"abstract_inverted_index":{"In":[0],"this":[1,68],"paper,":[2],"we":[3],"present":[4],"a":[5,13,22,85],"method":[6,65],"for":[7],"the":[8,18,27,43,49,52,62,74,97,106],"detection":[9],"of":[10,29,45,78,109],"objects":[11,60],"in":[12,31,51,82],"quantized":[14],"feature":[15,19],"space.":[16],"Quantizing":[17],"space":[20],"is":[21,48,71],"preprocessing":[23],"step":[24],"to":[25,42,54],"compact":[26],"amount":[28],"data":[30],"large":[32],"scale":[33],"image":[34],"retrieval":[35],"and":[36,57,70,102],"classification":[37],"applications.":[38],"A":[39],"drawback,":[40],"compared":[41],"use":[44],"non-quantized":[46],"features,":[47],"loss":[50],"ability":[53],"precisely":[55],"detect":[56],"localize":[58],"common":[59],"across":[61],"images.":[63],"Our":[64],"can":[66],"handle":[67],"limitation":[69],"based":[72],"on":[73,100],"frequently":[75],"used":[76],"Bag":[77],"Visual":[79],"Keypoints":[80],"representation":[81],"combination":[83],"with":[84],"sliding":[86],"window":[87],"approach.":[88,111],"Thereby,":[89],"it":[90],"does":[91],"not":[92],"need":[93],"any":[94],"knowledge":[95],"about":[96],"objects.":[98],"Experiments":[99],"real":[101],"synthetic":[103],"images":[104],"show":[105],"good":[107],"performance":[108],"our":[110]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
