{"id":"https://openalex.org/W2782521089","doi":"https://doi.org/10.1109/icspcc.2017.8242522","title":"Video compression: A jointly optimized transform-quantization method","display_name":"Video compression: A jointly optimized transform-quantization method","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2782521089","doi":"https://doi.org/10.1109/icspcc.2017.8242522","mag":"2782521089"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2017.8242522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242522","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 Signal Processing, Communications and Computing (ICSPCC)","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/A5080596209","display_name":"Miaohui Wang","orcid":"https://orcid.org/0000-0003-1125-9299"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Miaohui Wang","raw_affiliation_strings":["Shenzhen University, Guangdong, P.R. China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Guangdong, P.R. China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113084709","display_name":"Qilin Bi","orcid":"https://orcid.org/0009-0001-5252-7491"},"institutions":[{"id":"https://openalex.org/I4210129938","display_name":"Guangzhou Maritime College","ror":"https://ror.org/03kzcrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210129938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qilin Bi","raw_affiliation_strings":["Guangzhou Maritime University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Maritime University, P.R. China","institution_ids":["https://openalex.org/I4210129938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000676465","display_name":"Yulong Zhu","orcid":"https://orcid.org/0000-0002-7149-9377"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Zhu","raw_affiliation_strings":["Guangzhou Maritime University, Guangdong University of Technology, P.R. China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Maritime University, Guangdong University of Technology, P.R. China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080596209"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49582557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/quantization","display_name":"Quantization (signal processing)","score":0.6740955114364624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5954289436340332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5833016633987427},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5459999442100525},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5378806591033936},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5342174172401428},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5130311250686646},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49136510491371155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3249719738960266},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32179024815559387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3115800619125366},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.2768988013267517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06731510162353516},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06683605909347534}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6740955114364624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5954289436340332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5833016633987427},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5459999442100525},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5378806591033936},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5342174172401428},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5130311250686646},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49136510491371155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3249719738960266},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32179024815559387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3115800619125366},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2768988013267517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06731510162353516},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06683605909347534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc.2017.8242522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242522","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 Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1230149588","https://openalex.org/W1577532874","https://openalex.org/W1986931325","https://openalex.org/W2044970759","https://openalex.org/W2050048686","https://openalex.org/W2106219841","https://openalex.org/W2106405109","https://openalex.org/W2111660726","https://openalex.org/W2119616104","https://openalex.org/W2146395539","https://openalex.org/W4285719527","https://openalex.org/W6627979556"],"related_works":["https://openalex.org/W2090408580","https://openalex.org/W2814716084","https://openalex.org/W3091616179","https://openalex.org/W63225932","https://openalex.org/W2842797160","https://openalex.org/W2951210903","https://openalex.org/W2114291042","https://openalex.org/W2971200696","https://openalex.org/W2015653258","https://openalex.org/W2807777493","https://openalex.org/W2906373310","https://openalex.org/W2929795454","https://openalex.org/W2790242495","https://openalex.org/W2294286155","https://openalex.org/W22835478","https://openalex.org/W3018196839","https://openalex.org/W2155055615","https://openalex.org/W2747188084","https://openalex.org/W2404576766","https://openalex.org/W2603884341"],"abstract_inverted_index":{"In":[0],"video":[1],"coding,":[2],"the":[3,23,28,36,49,70,86],"transform-quantization":[4,61],"scheme":[5],"has":[6],"been":[7],"widely":[8],"used":[9],"to":[10,68,83],"remove":[11],"perceptual":[12],"redundancy.":[13],"Typically,":[14],"transform":[15,73],"and":[16,99],"quantization":[17,37],"are":[18],"carried":[19],"out":[20],"separately":[21],"for":[22],"prediction":[24],"residuals.":[25],"However,":[26],"since":[27],"residual":[29],"blocks":[30],"commonly":[31],"exhibit":[32],"diverse":[33],"spectral":[34],"characteristics,":[35],"with":[38,64],"predefined":[39],"constant":[40],"dead-zone":[41],"under":[42,105],"a":[43,58,65,76],"given":[44],"parameter":[45],"will":[46],"inevitably":[47],"deteriorate":[48],"compression":[50],"efficiency.":[51],"To":[52],"tackle":[53],"this":[54],"problem,":[55],"we":[56],"proposed":[57],"jointly":[59],"optimized":[60],"(JOTQ)":[62],"method":[63,80,95],"G-norm":[66],"constraint":[67],"find":[69],"optimal":[71],"quantized":[72],"coefficients.":[74],"Furthermore,":[75],"pattern":[77],"match":[78],"(PM)":[79],"is":[81],"developed":[82],"speed":[84],"up":[85],"JOTQ":[87],"algorithm.":[88],"Extensive":[89],"experiments":[90],"have":[91],"shown":[92],"that":[93],"our":[94],"can":[96],"outperform":[97],"H.264":[98],"High":[100],"Efficiency":[101],"Video":[102],"Coding":[103],"(HEVC)":[104],"various":[106],"configurations.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}