{"id":"https://openalex.org/W2597726489","doi":"https://doi.org/10.1109/icce.2017.7889359","title":"A novel scheme for extracting a JPEG image from an HEVC compressed video","display_name":"A novel scheme for extracting a JPEG image from an HEVC compressed video","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2597726489","doi":"https://doi.org/10.1109/icce.2017.7889359","mag":"2597726489"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2017.7889359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889359","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/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":true,"raw_author_name":"Hyunjae 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/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":false,"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/A5100643560","display_name":"Dongkyu Lee","orcid":"https://orcid.org/0000-0002-9418-3973"},"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/A5108250599","display_name":"Seoung-Jun Oh","orcid":null},"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/A5100768427"],"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":0.0175257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"372","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8499555587768555},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7826060056686401},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.7100297808647156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560938358306885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6202395558357239},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.6108285188674927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5714585781097412},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5643638968467712},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.493434339761734},{"id":"https://openalex.org/keywords/macroblock","display_name":"Macroblock","score":0.4730626344680786},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.46180054545402527},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4484338164329529},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.42696475982666016},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41346675157546997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38058292865753174},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3083972930908203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3008849620819092},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.263225257396698},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22404253482818604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12747856974601746}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8499555587768555},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7826060056686401},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.7100297808647156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560938358306885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6202395558357239},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.6108285188674927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5714585781097412},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5643638968467712},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.493434339761734},{"id":"https://openalex.org/C124828224","wikidata":"https://www.wikidata.org/wiki/Q2632668","display_name":"Macroblock","level":3,"score":0.4730626344680786},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.46180054545402527},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4484338164329529},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.42696475982666016},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41346675157546997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38058292865753174},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3083972930908203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3008849620819092},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.263225257396698},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22404253482818604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12747856974601746},{"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/icce.2017.7889359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889359","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":[{"score":0.4699999988079071,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2033645619","https://openalex.org/W2109766902","https://openalex.org/W2140196014","https://openalex.org/W2147958267"],"related_works":["https://openalex.org/W2142809368","https://openalex.org/W4243959093","https://openalex.org/W1998280942","https://openalex.org/W3190486427","https://openalex.org/W1971375954","https://openalex.org/W1992410481","https://openalex.org/W2145138541","https://openalex.org/W2441603424","https://openalex.org/W2169405113","https://openalex.org/W2606703304"],"abstract_inverted_index":{"In":[0,70],"this":[1],"paper,":[2],"we":[3,38,78,89],"propose":[4],"a":[5,10],"novel":[6],"scheme":[7],"for":[8,54,127],"extracting":[9],"JPEG":[11,29,55,57,128],"(Joint":[12],"Picture":[13],"Experts":[14],"Group)":[15],"snap":[16],"shot":[17],"image":[18,142],"from":[19,43],"an":[20],"HEVC":[21,31,45,64],"(High":[22],"Efficiency":[23],"Video":[24],"Coding)":[25],"bitstream.":[26],"Since":[27],"both":[28],"and":[30,47,83],"adopt":[32],"the":[33,40,44,49,74,80,91,94,107,114,118,122,135,141],"DCT-based":[34],"transform":[35],"coding":[36],"scheme,":[37],"extract":[39],"DCT":[41,62,75,86,102],"information":[42],"bitstream":[46],"process":[48],"data":[50],"to":[51,72,117],"be":[52],"suitable":[53],"compression.":[56,129],"uses":[58,65],"constant":[59],"block":[60,67,76],"size":[61],"whereas":[63],"variable":[66],"sizes":[68],"DCT.":[69],"order":[71],"unify":[73],"size,":[77],"use":[79],"direct":[81],"splitting":[82],"merging":[84],"in":[85,101],"domain.":[87,103],"Then,":[88,121],"obtain":[90],"coefficients":[92,105,116,124],"of":[93,106],"prediction":[95,119],"frame":[96,109],"by":[97,112],"performing":[98],"motion":[99],"compensation":[100],"The":[104,130],"current":[108],"are":[110,125],"reconstructed":[111,123],"adding":[113],"residual":[115],"coefficients.":[120],"used":[126],"experimental":[131],"results":[132],"show":[133],"that":[134],"proposed":[136],"method":[137],"comparatively":[138],"well":[139],"maintains":[140],"quality":[143],"with":[144],"lower":[145],"computational":[146],"complexity.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
