{"id":"https://openalex.org/W2208359430","doi":"https://doi.org/10.1109/eusipco.2015.7362700","title":"An efficient statistical-based retrieval approach for JPEG2000 compressed images","display_name":"An efficient statistical-based retrieval approach for JPEG2000 compressed images","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2208359430","doi":"https://doi.org/10.1109/eusipco.2015.7362700","mag":"2208359430"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"preprint","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/A5043673982","display_name":"A. Chaker","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"A. Chaker","raw_affiliation_strings":["Sup'Com, Univ. Carthage, Tunisia"],"affiliations":[{"raw_affiliation_string":"Sup'Com, Univ. Carthage, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051468325","display_name":"Mounir Kaaniche","orcid":"https://orcid.org/0000-0003-1874-3243"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Kaaniche","raw_affiliation_strings":["L2TI, Univ. Paris 13, France"],"affiliations":[{"raw_affiliation_string":"L2TI, Univ. Paris 13, France","institution_ids":["https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112189320","display_name":"A. Benazza-Benyahia","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"A. Benazza-Benyahia","raw_affiliation_strings":["Sup'Com, Univ. Carthage, Tunisia"],"affiliations":[{"raw_affiliation_string":"Sup'Com, Univ. Carthage, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038777297","display_name":"Marc Antonini","orcid":"https://orcid.org/0000-0002-7012-1735"},"institutions":[{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Antonini","raw_affiliation_strings":["I3S - UMR 7271- CNRS, Univ. Nice Sophia Antipolis, France"],"affiliations":[{"raw_affiliation_string":"I3S - UMR 7271- CNRS, Univ. Nice Sophia Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043673982"],"corresponding_institution_ids":["https://openalex.org/I179097149"],"apc_list":null,"apc_paid":null,"fwci":1.46115637,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87408721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1830","last_page":"1834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9993000030517578,"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":0.998199999332428,"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/jpeg-2000","display_name":"JPEG 2000","score":0.6319159865379333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6258312463760376},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6043555736541748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5930496454238892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5713334083557129},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.55312579870224},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5192041993141174},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5129153728485107},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.499481201171875},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.49552977085113525},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4831206500530243},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4772462844848633},{"id":"https://openalex.org/keywords/laplace-distribution","display_name":"Laplace distribution","score":0.4528747797012329},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4133340120315552},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4028937816619873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.349500447511673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3482748866081238},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.3429103493690491},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2502131462097168},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24105030298233032},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.13411945104599}],"concepts":[{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6319159865379333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6258312463760376},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6043555736541748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5930496454238892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5713334083557129},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.55312579870224},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5192041993141174},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5129153728485107},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.499481201171875},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.49552977085113525},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4831206500530243},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4772462844848633},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.4528747797012329},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4133340120315552},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4028937816619873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.349500447511673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3482748866081238},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3429103493690491},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2502131462097168},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24105030298233032},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.13411945104599},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":1,"locations":[{"id":"doi:10.1109/eusipco.2015.7362700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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":27,"referenced_works":["https://openalex.org/W1509210867","https://openalex.org/W1976860949","https://openalex.org/W1992091448","https://openalex.org/W2008096097","https://openalex.org/W2018800623","https://openalex.org/W2030265202","https://openalex.org/W2037823779","https://openalex.org/W2059178894","https://openalex.org/W2074592858","https://openalex.org/W2098616111","https://openalex.org/W2101099259","https://openalex.org/W2109583775","https://openalex.org/W2113816497","https://openalex.org/W2117188745","https://openalex.org/W2118217749","https://openalex.org/W2122857189","https://openalex.org/W2126579249","https://openalex.org/W2130660124","https://openalex.org/W2147457207","https://openalex.org/W2148688509","https://openalex.org/W2152690055","https://openalex.org/W2153797887","https://openalex.org/W2163534628","https://openalex.org/W2747094054","https://openalex.org/W4243964215","https://openalex.org/W4253992025","https://openalex.org/W6742779483"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W1606460848","https://openalex.org/W2158009109","https://openalex.org/W2115252864","https://openalex.org/W1706111048","https://openalex.org/W2129927873","https://openalex.org/W2112852877","https://openalex.org/W2772846670","https://openalex.org/W2034796835"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"the":[4,10,21,45,50,53,57,68,75,89,93,97,101,112,119,125],"problem":[5],"of":[6,100],"image":[7],"retrieval":[8,121],"when":[9],"database":[11],"is":[12],"presented":[13],"in":[14,52,62],"a":[15,41,79,82,108],"compressed":[16],"form,":[17],"by":[18,30],"using":[19],"typically":[20],"JPEG2000":[22],"encoding":[23],"scheme":[24],"based":[25],"on":[26],"wavelet":[27],"transform":[28],"followed":[29],"an":[31],"uniform":[32],"scalar":[33],"quantization.":[34],"The":[35],"state-of-the-art":[36,126],"method":[37],"aims":[38],"at":[39],"applying":[40],"preprocessing":[42],"step":[43],"before":[44],"feature":[46,110],"extraction":[47],"to":[48,87,106],"reduce":[49],"difference":[51],"compression":[54],"qualities":[55],"between":[56],"images.":[58],"Our":[59],"contribution":[60],"consists":[61],"extracting":[63],"robust":[64],"features":[65],"directly":[66],"from":[67,92],"quantized":[69,94],"coefficients.":[70,95],"More":[71],"precisely,":[72],"assuming":[73],"that":[74,118],"unquantized":[76],"coefficients":[77],"within":[78],"subband":[80],"have":[81],"Laplacian":[83],"distribution,":[84],"we":[85],"propose":[86],"estimate":[88],"distribution":[90],"parameter":[91],"Then,":[96],"estimated":[98],"parameters":[99],"whole":[102],"subbands":[103],"are":[104],"used":[105],"build":[107],"salient":[109],"for":[111],"indexing":[113],"process.":[114],"Experimental":[115],"results":[116],"show":[117],"proposed":[120],"approach":[122],"significantly":[123],"improves":[124],"one.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
