{"id":"https://openalex.org/W3106723846","doi":"https://doi.org/10.1109/iscas.2010.5537571","title":"Adaptive block-size transform based just-noticeable difference profile for videos","display_name":"Adaptive block-size transform based just-noticeable difference profile for videos","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W3106723846","doi":"https://doi.org/10.1109/iscas.2010.5537571","mag":"3106723846"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2010.5537571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","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/A5017116858","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-7331-6132"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062332580","display_name":"King Ngi Ngan","orcid":"https://orcid.org/0000-0003-1946-3235"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"King N. Ngan","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017116858"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74472921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973000288009644,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9972000122070312,"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/macroblock","display_name":"Macroblock","score":0.7191945314407349},{"id":"https://openalex.org/keywords/just-noticeable-difference","display_name":"Just-noticeable difference","score":0.7028059959411621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.696196973323822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6639707088470459},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6468873023986816},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6085731387138367},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5661028623580933},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.4666939377784729},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4255138337612152},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4216025173664093},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41365015506744385},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.41059473156929016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35938698053359985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28358668088912964},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24395084381103516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2412300705909729},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1432756781578064}],"concepts":[{"id":"https://openalex.org/C124828224","wikidata":"https://www.wikidata.org/wiki/Q2632668","display_name":"Macroblock","level":3,"score":0.7191945314407349},{"id":"https://openalex.org/C59111918","wikidata":"https://www.wikidata.org/wiki/Q1224386","display_name":"Just-noticeable difference","level":2,"score":0.7028059959411621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.696196973323822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6639707088470459},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6468873023986816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6085731387138367},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5661028623580933},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.4666939377784729},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4255138337612152},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4216025173664093},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41365015506744385},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.41059473156929016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35938698053359985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28358668088912964},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24395084381103516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2412300705909729},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1432756781578064},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2010.5537571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W99749851","https://openalex.org/W1481550144","https://openalex.org/W1544486734","https://openalex.org/W2028954909","https://openalex.org/W2034252197","https://openalex.org/W2040576696","https://openalex.org/W2053895730","https://openalex.org/W2076670213","https://openalex.org/W2090928857","https://openalex.org/W2093854597","https://openalex.org/W2104691052","https://openalex.org/W2112085006","https://openalex.org/W2113032778","https://openalex.org/W2115416470","https://openalex.org/W2134654392","https://openalex.org/W2136477141","https://openalex.org/W2139496607","https://openalex.org/W2141852054","https://openalex.org/W2150645598","https://openalex.org/W2170682758","https://openalex.org/W2171301243","https://openalex.org/W4285719527","https://openalex.org/W6603982535","https://openalex.org/W6628807880","https://openalex.org/W6669656879"],"related_works":["https://openalex.org/W2545120792","https://openalex.org/W85183378","https://openalex.org/W2124265168","https://openalex.org/W2147390775","https://openalex.org/W2235413854","https://openalex.org/W2031930250","https://openalex.org/W2080715030","https://openalex.org/W2158062773","https://openalex.org/W2366173767","https://openalex.org/W1993528680"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,52,68,86],"novel":[6,87],"adaptive":[7],"block-size":[8],"transform":[9,95],"(ABT)":[10],"based":[11],"just-noticeable":[12],"difference":[13],"(JND)":[14],"model":[15,29,131],"for":[16,30,140],"videos.":[17],"Firstly,":[18],"the":[19,42,46,63,76,80,101,129,141,155,163],"ABT-based":[20],"spatial":[21,82,156],"JND":[22,28,103,124],"profile":[23],"is":[24,59,90,97],"extended":[25],"to":[26,61,92,99],"spatial-temporal":[27],"videos":[31],"by":[32],"considering":[33],"temporal":[34,148],"contrast":[35],"sensitivity":[36],"function":[37],"(TCSF),":[38],"eye":[39],"movement,":[40],"and":[41,70,79],"motion":[43,55,64,149],"information":[44],"of":[45,165],"objects":[47],"in":[48],"video":[49],"sequence.":[50],"Furthermore,":[51],"metric":[53],"named":[54],"characteristics":[56,65,150],"distance":[57],"(MCD)":[58],"proposed":[60,77,91,111,130,167],"depict":[62],"similarity":[66],"between":[67],"macroblock":[69],"its":[71],"corresponding":[72],"sub-blocks.":[73],"Based":[74],"on":[75],"MCD":[78],"obtained":[81],"image":[83,157],"content":[84,158],"information,":[85,159],"balanced":[88,142,168],"strategy":[89],"determine":[93],"which":[94,126,160],"size":[96],"employed":[98],"generate":[100],"resulting":[102],"model.":[104],"Experimental":[105],"results":[106],"have":[107,145],"demonstrated":[108,162],"that":[109,128,147],"our":[110,166],"scheme":[112],"could":[113],"tolerate":[114],"more":[115],"distortions":[116],"while":[117],"preserving":[118],"better":[119],"perceptual":[120],"quality":[121],"than":[122],"other":[123],"profiles,":[125],"means":[127],"consists":[132],"well":[133,153],"with":[134,154],"human":[135],"vision":[136],"system":[137],"(HVS).":[138],"Moreover,":[139],"strategy,":[143],"experiments":[144],"shown":[146],"accord":[151],"very":[152],"has":[161],"efficiency":[164],"strategy.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
