{"id":"https://openalex.org/W2600482011","doi":"https://doi.org/10.1109/icce.2017.7889330","title":"A compressed-domain corner detection method for a DCT-based compressed image","display_name":"A compressed-domain corner detection method for a DCT-based compressed image","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2600482011","doi":"https://doi.org/10.1109/icce.2017.7889330","mag":"2600482011"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2017.7889330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Consumer Electronics (ICCE)","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/A5056683848","display_name":"Jongseok Lee","orcid":"https://orcid.org/0000-0001-8045-0244"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongseok Lee","raw_affiliation_strings":["Kwangwoon University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768427","display_name":"Hyunjae Lee","orcid":"https://orcid.org/0000-0002-0569-7383"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunjae Lee","raw_affiliation_strings":["Kwangwoon University, Nowon-gu, Seoul, KR"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University, Nowon-gu, Seoul, KR","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643556","display_name":"Dongkyu Lee","orcid":"https://orcid.org/0000-0002-1318-6276"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongkyu Lee","raw_affiliation_strings":["Kwangwoon University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029538231","display_name":"Seoung\u2010Jun Oh","orcid":"https://orcid.org/0000-0002-7249-3647"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seoung-Jun Oh","raw_affiliation_strings":["Kwangwoon University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056683848"],"corresponding_institution_ids":["https://openalex.org/I161024014"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02405325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"306","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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":0.9994999766349792,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8637988567352295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6511676907539368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6478826403617859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400617361068726},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5772714614868164},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5715293288230896},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.53070467710495},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.493828147649765},{"id":"https://openalex.org/keywords/decodes","display_name":"Decodes","score":0.48854860663414},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.46104711294174194},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4418242275714874},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4282679557800293},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4222484827041626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32466059923171997},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32153844833374023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3161989450454712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2926967740058899},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14181911945343018}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8637988567352295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6511676907539368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478826403617859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400617361068726},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5772714614868164},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5715293288230896},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.53070467710495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.493828147649765},{"id":"https://openalex.org/C2778858076","wikidata":"https://www.wikidata.org/wiki/Q5249539","display_name":"Decodes","level":3,"score":0.48854860663414},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.46104711294174194},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4418242275714874},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4282679557800293},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4222484827041626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32466059923171997},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32153844833374023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3161989450454712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2926967740058899},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14181911945343018},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2017.7889330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Consumer Electronics (ICCE)","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":9,"referenced_works":["https://openalex.org/W1642613472","https://openalex.org/W1964591373","https://openalex.org/W2002276292","https://openalex.org/W2069295011","https://openalex.org/W2105524282","https://openalex.org/W2111308925","https://openalex.org/W2130103520","https://openalex.org/W6636707735","https://openalex.org/W6679388247"],"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":{"Researchers":[0],"have":[1],"developed":[2],"compressed-domain":[3,18,27],"computer":[4],"vision":[5],"algorithms.":[6],"Despite":[7],"the":[8,11,41,50,53,75],"recent":[9],"progress,":[10],"demands":[12],"for":[13,30],"interesting":[14],"point":[15],"extraction":[16],"in":[17],"still":[19],"exist.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"propose":[25],"a":[26,31,92],"corner":[28],"detection":[29],"DCT":[32,45],"(Discrete":[33],"Cosine":[34],"Transform)-based":[35],"compressed":[36],"image.":[37],"It":[38],"partially":[39],"decodes":[40],"image":[42],"to":[43,68,91],"obtain":[44],"data":[46,51],"and":[47,66,85],"then":[48,61],"split":[49],"into":[52],"high":[54],"precision":[55],"data.":[56],"The":[57],"edge":[58],"map":[59],"is":[60],"estimated":[62],"by":[63],"gradient":[64],"patterns":[65],"coefficients":[67],"detect":[69],"corners.":[70],"Experimental":[71],"results":[72],"show":[73],"that":[74],"proposed":[76],"method":[77,94],"has":[78],"about":[79,86],"6":[80],"pixels":[81],"of":[82],"average":[83],"distance":[84],"2%":[87],"miss":[88],"rate":[89],"compared":[90],"pixel-domain":[93],"with":[95],"low":[96],"computational":[97],"complexity.":[98]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
