{"id":"https://openalex.org/W2142758843","doi":"https://doi.org/10.1109/icme.2002.1035746","title":"Rotation invariant texture feature for content based image retrieval","display_name":"Rotation invariant texture feature for content based image retrieval","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2142758843","doi":"https://doi.org/10.1109/icme.2002.1035746","mag":"2142758843"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2002.1035746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","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/A5005772506","display_name":"Chi\u2010Man Pun","orcid":"https://orcid.org/0000-0003-1788-3746"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi-Man Pun","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057955111","display_name":"Moon-Chuen Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Moon-Chuen Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2695,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60691982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"173","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9872000217437744,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9746000170707703,"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/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6972472667694092},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6943717002868652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6755058765411377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6636273860931396},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6315960884094238},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6223818063735962},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5786876678466797},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5510979294776917},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5264711380004883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.459800660610199},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.45929473638534546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4336181581020355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4302927851676941},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4176156520843506},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.4128398895263672},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3511539697647095},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2503852844238281},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1293797492980957}],"concepts":[{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6972472667694092},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6943717002868652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6755058765411377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6636273860931396},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6315960884094238},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6223818063735962},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5786876678466797},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5510979294776917},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5264711380004883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.459800660610199},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.45929473638534546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4336181581020355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4302927851676941},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4176156520843506},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.4128398895263672},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3511539697647095},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2503852844238281},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1293797492980957},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2002.1035746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W59771946","https://openalex.org/W1538973122","https://openalex.org/W1947400014","https://openalex.org/W1985424411","https://openalex.org/W1988532760","https://openalex.org/W2008297189","https://openalex.org/W2033911870","https://openalex.org/W2062024414","https://openalex.org/W2091503252","https://openalex.org/W2099251025","https://openalex.org/W2102190518","https://openalex.org/W2102475035","https://openalex.org/W2107693148","https://openalex.org/W2132984323","https://openalex.org/W2144679084","https://openalex.org/W2148734996","https://openalex.org/W2156447271","https://openalex.org/W2160066518","https://openalex.org/W2168977926","https://openalex.org/W2171096036"],"related_works":["https://openalex.org/W1506615375","https://openalex.org/W68308810","https://openalex.org/W2144408025","https://openalex.org/W2053682625","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W2358271565","https://openalex.org/W1986475093","https://openalex.org/W1976022598","https://openalex.org/W2066485764"],"abstract_inverted_index":{"An":[0,75],"effective":[1,132],"rotation":[2,64],"invariant":[3,28,54,65],"polar-wavelet":[4,97],"texture":[5,129],"feature":[6,15,91,103,110,130],"for":[7,80,105],"content":[8],"based":[9],"image":[10,38,106],"retrieval":[11],"is":[12,46,78,113,131],"proposed.":[13],"The":[14,32,108],"extraction":[16,111],"process":[17,112],"involves":[18,117],"a":[19,36,40],"polar":[20,33],"transform":[21,34,57],"followed":[22],"by":[23],"an":[24,71],"adaptive":[25,51],"row":[26,52],"shift":[27,53],"wavelet":[29,55,66,85,136],"packet":[30,56,137],"transform.":[31],"converts":[35],"given":[37],"into":[39],"rotation-invariant":[41,128],"but":[42],"row-shifted":[43],"image,":[44],"which":[45],"then":[47],"passed":[48],"to":[49,58,70,89],"the":[50,94],"generate":[59],"adaptively":[60],"some":[61],"subbands":[62],"of":[63,83],"coefficients":[67],"with":[68],"respect":[69],"information":[72],"cost":[73],"function.":[74],"energy":[76,98],"signature":[77],"computed":[79],"each":[81],"sub-band":[82],"these":[84],"coefficients.":[86],"In":[87],"order":[88],"reduce":[90],"dimensionality,":[92],"only":[93,118],"most":[95],"dominant":[96],"signatures":[99],"are":[100],"selected":[101],"as":[102],"vectors":[104],"retrieval.":[107],"whole":[109],"quite":[114],"efficient":[115],"and":[116,133],"O(n/spl":[119],"middot/log":[120],"n)":[121],"complexity.":[122],"Experimental":[123],"results":[124],"show":[125],"that":[126],"this":[127],"outperforms":[134],"traditional":[135],"signatures.":[138]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}