{"id":"https://openalex.org/W2087091805","doi":"https://doi.org/10.1145/2345396.2345430","title":"Object detection in video using Lorenz information measure and discrete wavelet transform","display_name":"Object detection in video using Lorenz information measure and discrete wavelet transform","publication_year":2012,"publication_date":"2012-08-03","ids":{"openalex":"https://openalex.org/W2087091805","doi":"https://doi.org/10.1145/2345396.2345430","mag":"2087091805"},"language":"en","primary_location":{"id":"doi:10.1145/2345396.2345430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Computing, Communications and Informatics","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/A5036538789","display_name":"C. Lakshmi Devasena","orcid":null},"institutions":[{"id":"https://openalex.org/I65220239","display_name":"Karpagam Academy of Higher Education","ror":"https://ror.org/00ssvzv66","country_code":"IN","type":"education","lineage":["https://openalex.org/I65220239"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Lakshmi Devasena","raw_affiliation_strings":["Karpagam University, India","Karpagam University, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karpagam University, India","institution_ids":["https://openalex.org/I65220239"]},{"raw_affiliation_string":"Karpagam University, India#TAB#","institution_ids":["https://openalex.org/I65220239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108025970","display_name":"M. Hemalatha","orcid":"https://orcid.org/0009-0004-2870-8630"},"institutions":[{"id":"https://openalex.org/I65220239","display_name":"Karpagam Academy of Higher Education","ror":"https://ror.org/00ssvzv66","country_code":"IN","type":"education","lineage":["https://openalex.org/I65220239"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Hemalatha","raw_affiliation_strings":["Karpagam University, India","Karpagam University, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karpagam University, India","institution_ids":["https://openalex.org/I65220239"]},{"raw_affiliation_string":"Karpagam University, India#TAB#","institution_ids":["https://openalex.org/I65220239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65220239"],"apc_list":null,"apc_paid":null,"fwci":0.2256,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49019794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7774772644042969},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.7554134726524353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6800956130027771},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.6748530864715576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6469615697860718},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5971881151199341},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5536758899688721},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.5468964576721191},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5431186556816101},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.5136625170707703},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.48809918761253357},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.48737794160842896},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.40685713291168213},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.39569276571273804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7774772644042969},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.7554134726524353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6800956130027771},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.6748530864715576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6469615697860718},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5971881151199341},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5536758899688721},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.5468964576721191},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5431186556816101},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.5136625170707703},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.48809918761253357},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.48737794160842896},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.40685713291168213},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.39569276571273804},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2345396.2345430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Computing, Communications and Informatics","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":25,"referenced_works":["https://openalex.org/W61829693","https://openalex.org/W1596447586","https://openalex.org/W1982454790","https://openalex.org/W1995450389","https://openalex.org/W1995903777","https://openalex.org/W2005422315","https://openalex.org/W2018949800","https://openalex.org/W2055294489","https://openalex.org/W2059434321","https://openalex.org/W2081337758","https://openalex.org/W2094169479","https://openalex.org/W2097339042","https://openalex.org/W2100437876","https://openalex.org/W2108700067","https://openalex.org/W2113595424","https://openalex.org/W2115448240","https://openalex.org/W2118377301","https://openalex.org/W2120805321","https://openalex.org/W2121274305","https://openalex.org/W2128838979","https://openalex.org/W2131717503","https://openalex.org/W2132288950","https://openalex.org/W2134177842","https://openalex.org/W2146082061","https://openalex.org/W4244494905"],"related_works":["https://openalex.org/W2187171999","https://openalex.org/W2123453665","https://openalex.org/W3180934628","https://openalex.org/W43054317","https://openalex.org/W3132023272","https://openalex.org/W1590871397","https://openalex.org/W2032827369","https://openalex.org/W2164320023","https://openalex.org/W24612264","https://openalex.org/W1889918572"],"abstract_inverted_index":{"Video":[0],"retrieval":[1],"and":[2,25,30,34,82,94,117,129,152],"video":[3,19,21,23,42,63,77,92,107,149,153],"mining":[4,150],"has":[5],"become":[6],"a":[7,47,104],"very":[8],"popular":[9],"research":[10,49,53,67],"field":[11],"due":[12,32],"to":[13,33,58,71,86,99,147],"the":[14,38,74,88,91,113,126,137],"increase":[15],"of":[16,40,90,106,112,136],"applications":[17,151],"like":[18],"monitoring,":[20],"surveillance,":[22],"matching":[24],"duplication":[26],"detection":[27],"in":[28,37,51,103],"videos":[29,128],"also":[31],"hasty":[35],"raise":[36],"volume":[39],"digital":[41],"databases.":[43],"Since":[44],"it":[45],"is":[46,64,69,115],"vibrant":[48],"area,":[50],"this":[52],"work,":[54],"an":[55],"efficient":[56],"approach":[57],"find":[59,72],"new":[60,101],"objects":[61,102],"from":[62,76],"proposed.":[65],"This":[66],"work":[68],"aimed":[70],"out":[73],"object":[75],"using":[78],"Lorentz":[79],"Information":[80],"measure":[81],"Discrete":[83],"Wavelet":[84],"Transform":[85],"extract":[87],"features":[89],"frame":[93,105],"applying":[95],"self":[96],"organizing":[97],"maps":[98],"recognize":[100],"sequence.":[108],"The":[109,121,133],"proposed":[110,122,138],"model":[111],"system":[114,123,139],"designed":[116],"implemented":[118],"on":[119],"MATLAB.":[120],"tested":[124],"with":[125],"sample":[127],"providing":[130],"promising":[131],"results.":[132],"performance":[134],"level":[135],"will":[140],"be":[141],"suited":[142],"for":[143],"several":[144],"simple":[145],"day":[146,148],"surveillance":[154],"systems.":[155]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
