{"id":"https://openalex.org/W2561069072","doi":"https://doi.org/10.1109/gcce.2016.7800445","title":"Shape descriptor for binary image retrieval","display_name":"Shape descriptor for binary image retrieval","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2561069072","doi":"https://doi.org/10.1109/gcce.2016.7800445","mag":"2561069072"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2016.7800445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2016.7800445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 5th Global Conference on Consumer Electronics","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/A5002272755","display_name":"Moe Pwint","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Moe Zet Pwint","raw_affiliation_strings":["Dept. of Electrical and Electronic Eng., University of Miyazaki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronic Eng., University of Miyazaki","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058861287","display_name":"Thi Thi Zin","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thi Thi Zin","raw_affiliation_strings":["Faculty of Engineering, University of Miyazaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113505898","display_name":"Mitsuhiro Yokota","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuhiro Yokota","raw_affiliation_strings":["Faculty of Engineering, University of Miyazaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048497387","display_name":"Mie Mie Tin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089821","display_name":"University of Computer Studies Mandalay","ror":"https://ror.org/008jssb69","country_code":"MM","type":"education","lineage":["https://openalex.org/I4210089821"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Mie Mie Tin","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of Computer Studies, Mandalay, Myanmar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of Computer Studies, Mandalay, Myanmar","institution_ids":["https://openalex.org/I4210089821"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3019,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66075906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9793000221252441,"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/image-retrieval","display_name":"Image retrieval","score":0.791064977645874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7614998817443848},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6851155757904053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6568132638931274},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6441929936408997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6393592357635498},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.5724018216133118},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5534878373146057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5515442490577698},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.5431811213493347},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5244279503822327},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.5028197169303894},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4892439842224121},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4804779589176178},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4616144895553589},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4514431655406952},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41230830550193787},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30716660618782043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26935791969299316}],"concepts":[{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.791064977645874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7614998817443848},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6851155757904053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6568132638931274},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6441929936408997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6393592357635498},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.5724018216133118},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5534878373146057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5515442490577698},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.5431811213493347},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5244279503822327},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.5028197169303894},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4892439842224121},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4804779589176178},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4616144895553589},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4514431655406952},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41230830550193787},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30716660618782043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26935791969299316},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2016.7800445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2016.7800445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 5th Global Conference on Consumer Electronics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2055783626","https://openalex.org/W2089760990","https://openalex.org/W2106404777","https://openalex.org/W2118376687","https://openalex.org/W2146507164"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W2031096531","https://openalex.org/W826460979","https://openalex.org/W2186643570","https://openalex.org/W1984753464","https://openalex.org/W4327774125","https://openalex.org/W3197447665","https://openalex.org/W2602624304","https://openalex.org/W2590792214","https://openalex.org/W4386752185"],"abstract_inverted_index":{"Content-based":[0],"Image":[1],"Retrieval":[2],"(CBIR)":[3],"system":[4,44],"search":[5],"the":[6,10,23,36,62,75,88,96,102,106],"images":[7,86,98],"according":[8,104],"to":[9,101],"image":[11,47,84],"content":[12],"such":[13],"as":[14],"color,":[15],"texture,":[16],"shape":[17,28,68],"and":[18,33,58,70,85],"others":[19],"prominent":[20],"features":[21,71],"from":[22,74],"image.":[24,37,63,76],"Among":[25],"these":[26],"features,":[27],"can":[29],"give":[30],"visual":[31],"structure":[32],"appearance":[34],"of":[35,61],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,94],"for":[45],"binary":[46],"retrieval,":[48],"using":[49,113],"Zernike":[50],"moment,":[51],"angular":[52],"radial":[53],"histogram":[54,60],"together":[55],"with":[56,105],"horizontal":[57],"vertical":[59],"We":[64],"focus":[65],"on":[66],"region-based":[67],"approach":[69],"are":[72,99,119],"extracted":[73,97],"And":[77],"then,":[78],"similarity":[79],"matching":[80],"process":[81],"between":[82],"query":[83],"in":[87],"database":[89],"is":[90],"carried":[91],"out.":[92],"As":[93],"result,":[95],"shown":[100],"user":[103],"rank":[107],"value.":[108],"Some":[109],"experimental":[110],"results":[111],"by":[112],"MPEG-7":[114],"CE":[115],"Shape-1":[116],"Part-B":[117],"dataset":[118],"presented.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}