{"id":"https://openalex.org/W2516785012","doi":"https://doi.org/10.1109/iscas.2016.7539109","title":"Adaptive perceptual preprocessing for video coding","display_name":"Adaptive perceptual preprocessing for video coding","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2516785012","doi":"https://doi.org/10.1109/iscas.2016.7539109","mag":"2516785012"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2016.7539109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5038924501","display_name":"Guoqing Xiang","orcid":"https://orcid.org/0000-0001-5831-1897"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoqing Xiang","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027946490","display_name":"Huizhu Jia","orcid":"https://orcid.org/0000-0002-2778-3768"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhu Jia","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Beida (Binhai) Information Research","EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Beida (Binhai) Information Research","institution_ids":[]},{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454105","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-4293-4827"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100562091","display_name":"Binbin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Cai","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064736086","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-7023-8677"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101585261","display_name":"Xiaodong Xie","orcid":"https://orcid.org/0000-0002-4325-7741"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xie","raw_affiliation_strings":["EECS of Peking University, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"EECS of Peking University, Beijing, P.R. China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038924501"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.66199003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2535","last_page":"2538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364546060562134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6954907774925232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6717557907104492},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6671152710914612},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6140491366386414},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5903913378715515},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.5850710272789001},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5072728991508484},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5036370158195496},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4309610426425934},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.422288715839386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35585206747055054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3456229567527771},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19738361239433289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18518418073654175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364546060562134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6954907774925232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6717557907104492},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6671152710914612},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6140491366386414},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5903913378715515},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.5850710272789001},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5072728991508484},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5036370158195496},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4309610426425934},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.422288715839386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35585206747055054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3456229567527771},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19738361239433289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18518418073654175},{"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/iscas.2016.7539109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","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":8,"referenced_works":["https://openalex.org/W1991597308","https://openalex.org/W2104350111","https://openalex.org/W2110691818","https://openalex.org/W2113729098","https://openalex.org/W2115416470","https://openalex.org/W2128298440","https://openalex.org/W2137577808","https://openalex.org/W2146395539"],"related_works":["https://openalex.org/W244738299","https://openalex.org/W777051326","https://openalex.org/W2548824516","https://openalex.org/W1966775699","https://openalex.org/W2013826620","https://openalex.org/W2187058657","https://openalex.org/W2536414725","https://openalex.org/W1482156563","https://openalex.org/W88604685","https://openalex.org/W2356578229"],"abstract_inverted_index":{"The":[0,57],"quantization":[1,86],"of":[2,50,100],"block":[3,83],"DCT":[4],"coefficients":[5],"is":[6,32],"too":[7],"coarse,":[8],"and":[9,18,71,76,85],"will":[10],"result":[11],"in":[12,24,54],"much":[13],"non-uniform":[14],"artifacts,":[15],"therefore,":[16],"blocking":[17],"ring":[19],"artifacts":[20,52],"are":[21],"usually":[22],"visible":[23],"reconstructed":[25,101],"video":[26,55],"frames":[27],"especially":[28],"when":[29],"the":[30,48,97],"bitrate":[31],"not":[33],"sufficient.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"present":[39],"an":[40],"adaptive":[41,72],"perceptual":[42],"preprocessing":[43],"(APP)":[44],"method":[45],"to":[46],"reduce":[47],"probability":[49],"these":[51],"generated":[53],"encoding.":[56],"APP":[58],"algorithm":[59,93],"employs":[60],"a":[61],"novel":[62],"filter":[63,69,74],"based":[64],"on":[65],"just":[66],"noticeable":[67],"distortion":[68],"(JNDF)":[70],"bilateral":[73],"(ABF),":[75],"they":[77],"can":[78,94],"be":[79],"adaptively":[80],"chosen":[81],"by":[82],"characteristics":[84],"parameters.":[87],"Experimental":[88],"results":[89],"demonstrate":[90],"our":[91],"proposed":[92],"significantly":[95],"improve":[96],"subjective":[98],"quality":[99],"image.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
