{"id":"https://openalex.org/W2170641980","doi":"https://doi.org/10.1109/cvprw.2010.5543242","title":"Quantization schemes for low bitrate Compressed Histogram of Gradients descriptors","display_name":"Quantization schemes for low bitrate Compressed Histogram of Gradients descriptors","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2170641980","doi":"https://doi.org/10.1109/cvprw.2010.5543242","mag":"2170641980"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2010.5543242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","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/A5103502228","display_name":"Vijay Chandrasekhar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vijay Chandrasekhar","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047345539","display_name":"Yuriy A. Reznik","orcid":"https://orcid.org/0000-0003-4233-5805"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuriy Reznik","raw_affiliation_strings":["Qualcomm, Inc., San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Qualcomm, Inc., San Diego, CA, USA","institution_ids":["https://openalex.org/I4210087596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080930965","display_name":"Gabriel Takacs","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabriel Takacs","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675683","display_name":"David Chen","orcid":"https://orcid.org/0009-0002-8386-7840"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Chen","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113536035","display_name":"Sam S. Tsai","orcid":"https://orcid.org/0000-0002-7220-9108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Tsai","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113660863","display_name":"Radek Grzeszczuk","orcid":null},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]},{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Radek Grzeszczuk","raw_affiliation_strings":["Nokia Research Center, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I173498003","https://openalex.org/I72090969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004042863","display_name":"Bernd Girod","orcid":"https://orcid.org/0000-0001-6950-1020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernd Girod","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103502228"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5059,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.93620837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"33","last_page":"40"},"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":0.9950000047683716,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/histogram","display_name":"Histogram","score":0.7220958471298218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071134448051453},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6646260023117065},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6447196006774902},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.51581209897995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49595317244529724},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4595993161201477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4349586069583893},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4154515862464905},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41038379073143005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3490179777145386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19878923892974854},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19299137592315674}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7220958471298218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071134448051453},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6646260023117065},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6447196006774902},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.51581209897995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49595317244529724},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4595993161201477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4349586069583893},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4154515862464905},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41038379073143005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3490179777145386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19878923892974854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19299137592315674},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2010.5543242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W135467536","https://openalex.org/W1556531089","https://openalex.org/W1586283311","https://openalex.org/W2069463273","https://openalex.org/W2096765209","https://openalex.org/W2099909565","https://openalex.org/W2119352491","https://openalex.org/W2119605622","https://openalex.org/W2128017662","https://openalex.org/W2131578006","https://openalex.org/W2132926984","https://openalex.org/W2145072179","https://openalex.org/W2148809531","https://openalex.org/W2150782236","https://openalex.org/W2151103935","https://openalex.org/W2151638304","https://openalex.org/W2156106197","https://openalex.org/W2158705726","https://openalex.org/W2161969291","https://openalex.org/W2169561155","https://openalex.org/W2170536761","https://openalex.org/W6633472159","https://openalex.org/W6681554747","https://openalex.org/W6682859902"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W1539956819","https://openalex.org/W2394004323","https://openalex.org/W2093152993","https://openalex.org/W2398764543","https://openalex.org/W1489554298","https://openalex.org/W2121067345","https://openalex.org/W3209251257","https://openalex.org/W2094714038","https://openalex.org/W2144404403"],"abstract_inverted_index":{"We":[0,15,42,74],"study":[1],"different":[2],"quantization":[3,36],"schemes":[4,37],"for":[5,19,85],"the":[6,76],"Compressed":[7],"Histogram":[8],"of":[9,88,105],"Gradients":[10],"(CHoG)":[11],"image":[12,81],"feature":[13],"descriptor.":[14],"propose":[16],"a":[17,79,86],"scheme":[18],"compressing":[20],"distributions":[21],"called":[22],"Type":[23,54],"Coding,":[24],"which":[25],"offers":[26],"lower":[27],"complexity":[28],"and":[29,51,70,84,93],"higher":[30],"compression":[31],"efficiency":[32],"compared":[33],"to":[34,58],"tree-based":[35],"proposed":[38,63],"in":[39,78],"prior":[40],"work.":[41],"construct":[43],"optimal":[44,60],"Entropy":[45],"Constrained":[46],"Vector":[47],"Quantization":[48],"(ECVQ)":[49],"code-books":[50],"show":[52],"that":[53],"Coding":[55],"comes":[56],"close":[57],"achieving":[59],"performance.":[61],"The":[62],"descriptors":[64],"are":[65],"16\u00d7":[66],"smaller":[67],"than":[68],"SIFT":[69],"perform":[71],"on":[72],"par.":[73],"implement":[75],"descriptor":[77],"mobile":[80],"retrieval":[82,99],"system":[83],"database":[87],"1":[89],"million":[90],"CD,":[91],"DVD":[92],"book":[94],"covers,":[95],"we":[96],"achieve":[97],"96%":[98],"accuracy":[100],"using":[101],"only":[102],"4":[103],"kilobytes":[104],"data":[106],"per":[107],"query":[108],"image.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
