{"id":"https://openalex.org/W4404849567","doi":"https://doi.org/10.1109/gcce62371.2024.10760751","title":"Semantic Segmentation of River Video for Smart River Monitoring System","display_name":"Semantic Segmentation of River Video for Smart River Monitoring System","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404849567","doi":"https://doi.org/10.1109/gcce62371.2024.10760751"},"language":"en","primary_location":{"id":"doi:10.1109/gcce62371.2024.10760751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce62371.2024.10760751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)","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/A5058945595","display_name":"Haruki Inoue","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Haruki Inoue","raw_affiliation_strings":["Tokushima University,Department of Science and Engineering,Tokushima City,Japan,770-8506"],"affiliations":[{"raw_affiliation_string":"Tokushima University,Department of Science and Engineering,Tokushima City,Japan,770-8506","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103075627","display_name":"Takafumi Katayama","orcid":"https://orcid.org/0000-0001-9180-3332"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takafumi Katayama","raw_affiliation_strings":["Graduate School of Engineering Tokushima University,Institute of Technology and Science,Tokushima City,Japan,770-8506"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Tokushima University,Institute of Technology and Science,Tokushima City,Japan,770-8506","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102012853","display_name":"Tian Song","orcid":"https://orcid.org/0000-0003-4017-0074"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tian Song","raw_affiliation_strings":["Graduate School of Engineering Tokushima University,Institute of Technology and Science,Tokushima City,Japan,770-8506"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Tokushima University,Institute of Technology and Science,Tokushima City,Japan,770-8506","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045790042","display_name":"Takashi Shimamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Shimamoto","raw_affiliation_strings":["Graduate School of Engineering Tokushima University,Institute of Technology and Science,Tokushima City,Japan,770-8506"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Tokushima University,Institute of Technology and Science,Tokushima City,Japan,770-8506","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058945595"],"corresponding_institution_ids":["https://openalex.org/I922474255"],"apc_list":null,"apc_paid":null,"fwci":0.2177,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52218058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"678","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759950578212738},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5737805366516113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38704806566238403},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3201863765716553},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19703629612922668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759950578212738},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5737805366516113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38704806566238403},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3201863765716553},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19703629612922668}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce62371.2024.10760751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce62371.2024.10760751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"a":[3,11],"high-efficiency":[4],"semantic":[5,39],"segmentation":[6,40,73],"method":[7],"is":[8,20,28],"proposed":[9,18,38,78],"for":[10],"smart":[12,79],"river":[13,25,32,71],"monitoring":[14,50,60,85],"surveillance":[15,100],"system.":[16],"The":[17,62,77],"model":[19,41],"trained":[21],"by":[22],"an":[23],"original":[24,31],"dataset":[26],"which":[27],"generated":[29],"using":[30],"data":[33,57],"in":[34,74],"Japan.":[35],"Using":[36],"the":[37,42,49,54,59,70,84,89],"water":[43,55,90],"level":[44,56,91],"can":[45],"be":[46],"read":[47],"from":[48],"cameras":[51],"and":[52],"transmit":[53],"to":[58,97],"center.":[61],"simulation":[63],"results":[64],"show":[65],"very":[66],"high":[67],"accuracy":[68],"about":[69],"area":[72],"different":[75],"conditions.":[76],"system":[80],"not":[81],"only":[82],"helps":[83],"center":[86],"automatically":[87],"estimate":[88],"but":[92],"also":[93],"makes":[94],"it":[95],"possible":[96],"manage":[98],"more":[99],"cameras.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}