{"id":"https://openalex.org/W2152305906","doi":"https://doi.org/10.1109/icme.2007.4284647","title":"Macroblock-Level Adaptive Frequency Weighting","display_name":"Macroblock-Level Adaptive Frequency Weighting","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2152305906","doi":"https://doi.org/10.1109/icme.2007.4284647","mag":"2152305906"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4284647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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/A5100689468","display_name":"Jianwen Chen","orcid":"https://orcid.org/0000-0002-6436-6568"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Chen","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633350","display_name":"Jianhua Zheng","orcid":"https://orcid.org/0000-0003-0224-0270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhua Zheng","raw_affiliation_strings":["Hisilicon Technologies Company Limited, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hisilicon Technologies Company Limited, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102142175","display_name":"Shunliang Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunliang Mei","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008939883","display_name":"Yun He","orcid":"https://orcid.org/0000-0001-8430-6370"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun He","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"304","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/macroblock","display_name":"Macroblock","score":0.8939343690872192},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8799687623977661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298901677131653},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6408195495605469},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6222378611564636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4500489830970764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4482821524143219},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.42259398102760315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.389801025390625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34015268087387085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14738789200782776},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1038389801979065},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.08828487992286682},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07161492109298706},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07117173075675964}],"concepts":[{"id":"https://openalex.org/C124828224","wikidata":"https://www.wikidata.org/wiki/Q2632668","display_name":"Macroblock","level":3,"score":0.8939343690872192},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8799687623977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298901677131653},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6408195495605469},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6222378611564636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4500489830970764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4482821524143219},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.42259398102760315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.389801025390625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34015268087387085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14738789200782776},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1038389801979065},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.08828487992286682},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07161492109298706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07117173075675964},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2007.4284647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1959201078","https://openalex.org/W2091455083","https://openalex.org/W2145802122","https://openalex.org/W2168078737","https://openalex.org/W6641059201"],"related_works":["https://openalex.org/W2147318586","https://openalex.org/W2111547260","https://openalex.org/W826372662","https://openalex.org/W2182344073","https://openalex.org/W2095451860","https://openalex.org/W2106970859","https://openalex.org/W2119079584","https://openalex.org/W2083576627","https://openalex.org/W2106236103","https://openalex.org/W2355774553"],"abstract_inverted_index":{"In":[0,66],"the":[1,6,9,19,28,53,81,87,107,113],"perceptual":[2],"video":[3,42],"coding":[4,43],"scheme,":[5],"properties":[7,31],"of":[8,27,32],"human":[10],"visual":[11],"system":[12],"(HVS)":[13],"are":[14,61],"usually":[15],"used":[16,57],"to":[17],"improve":[18,112],"subjective":[20,114],"quality.":[21],"The":[22,102],"frequency":[23,54,74,84,93],"sensitivity":[24],"is":[25,77],"one":[26],"most":[29],"important":[30],"HVS":[33],"and":[34,48,96],"related":[35],"techniques":[36],"have":[37],"been":[38],"adopted":[39],"in":[40,58,63],"many":[41],"standards,":[44],"such":[45],"as":[46],"MPEG2":[47],"H.264/AVC":[49],"High":[50],"Profile.":[51],"However,":[52],"weighting":[55,75,85,94],"algorithms":[56],"those":[59],"standards":[60],"all":[62],"picture":[64],"level.":[65],"this":[67],"paper,":[68],"a":[69],"novel":[70],"macroblock":[71],"(MB)-level":[72],"adaptive":[73,83],"algorithm":[76,89,110],"proposed.":[78],"Compared":[79],"with":[80],"picture-level":[82],"algorithms,":[86],"proposed":[88,108],"can":[90,111],"select":[91],"different":[92],"strategies":[95],"quantization":[97],"matrices":[98],"for":[99],"each":[100],"MB.":[101],"experimental":[103],"results":[104],"show":[105],"that":[106],"MBAFW":[109],"quality":[115],"significantly.":[116]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
