{"id":"https://openalex.org/W4385485704","doi":"https://doi.org/10.1145/3594315.3594334","title":"Video Bitstream Recompression Based on Sparse Representation of DCT Coefficients","display_name":"Video Bitstream Recompression Based on Sparse Representation of DCT Coefficients","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4385485704","doi":"https://doi.org/10.1145/3594315.3594334"},"language":"en","primary_location":{"id":"doi:10.1145/3594315.3594334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","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/A5101499178","display_name":"Han Wang","orcid":"https://orcid.org/0000-0002-0524-9345"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Wang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048015245","display_name":"Luheng Jia","orcid":"https://orcid.org/0000-0001-8221-3576"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luheng Jia","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102739762","display_name":"Z. Zhang","orcid":"https://orcid.org/0009-0009-6900-3633"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuhai Zhang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008153237","display_name":"Kebin Jia","orcid":"https://orcid.org/0000-0001-7620-2221"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kebin Jia","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101499178"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08174383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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/T10901","display_name":"Advanced Data Compression Techniques","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8129367828369141},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.7433246970176697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316814064979553},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.633175253868103},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5256204009056091},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.45466628670692444},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45434826612472534},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4506707787513733},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.4481462836265564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4083249270915985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36292487382888794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35288989543914795},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.30941545963287354},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.20070040225982666},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.19297906756401062}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8129367828369141},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.7433246970176697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316814064979553},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.633175253868103},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5256204009056091},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.45466628670692444},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45434826612472534},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4506707787513733},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.4481462836265564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4083249270915985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36292487382888794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35288989543914795},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30941545963287354},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.20070040225982666},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.19297906756401062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594315.3594334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2160547390","https://openalex.org/W2999812906","https://openalex.org/W4212991200"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W1706111048","https://openalex.org/W2129927873","https://openalex.org/W2772846670","https://openalex.org/W2112852877","https://openalex.org/W2034796835","https://openalex.org/W3188631569"],"abstract_inverted_index":{"Further":[0],"compression":[1],"of":[2,21,45,59,90,125,151,157,166,182],"encoded":[3],"video":[4,15,25,42,46,61,68,116],"bitstream":[5,16,185],"is":[6,17,36,132],"necessary":[7],"to":[8,28,106],"save":[9],"storage":[10],"space":[11],"and":[12,31,84,153],"bandwidth.":[13],"However,":[14],"a":[18,57,115,140],"compressed":[19],"version":[20],"raw":[22],"data":[23],"with":[24,40],"encoders":[26],"according":[27],"different":[29],"standards,":[30],"hence":[32],"the":[33,51,66,96,102,145,149,174,180],"signal":[34,80],"redundancy":[35,103],"already":[37],"reduced":[38],"compared":[39],"original":[41,183],"data.":[43],"Recompression":[44],"stream":[47,117],"requires":[48],"further":[49,100,122,178],"exploring":[50],"correlation":[52,92],"remained.":[53],"Transform":[54],"coding":[55,62,69,108],"as":[56,72,139],"part":[58],"hybrid":[60],"framework":[63,177],"adopted":[64],"in":[65,95],"latest":[67],"standards":[70],"such":[71],"discrete":[73],"cosine":[74],"transform":[75,97,142],"(DCT)":[76],"decorrelates":[77],"predictive":[78],"residual":[79],"for":[81],"efficient":[82],"quantization":[83],"entropy":[85],"coding.":[86],"Nevertheless,":[87],"considerable":[88],"amount":[89],"statistical":[91],"still":[93],"remains":[94],"coefficients":[98,136,165],"that":[99,173],"reducing":[101],"can":[104],"lead":[105],"improved":[107],"efficiency.":[109],"In":[110],"this":[111],"work,":[112],"we":[113],"propose":[114],"recompression":[118,176],"scheme":[119,147],"based":[120],"on":[121],"sparse":[123,129],"representation":[124,130],"DCT":[126,135,164],"coefficients.":[127],"Dictionary-based":[128],"method":[131],"used":[133],"after":[134],"are":[137],"obtained":[138],"secondary":[141],"module.":[143],"Moreover,":[144],"proposed":[146,175],"leverages":[148],"property":[150],"DPCM":[152],"avoids":[154],"sending":[155],"bits":[156],"dictionary":[158],"by":[159,186],"forming":[160],"redundant":[161],"dictionaries":[162],"from":[163],"previously":[167],"decoded":[168],"frames.":[169],"Experimental":[170],"results":[171],"demonstrate":[172],"reduces":[179],"bitrate":[181],"H.264":[184],"more":[187],"than":[188],"while":[189],"maintains":[190],"similar":[191],"subjective":[192],"quality.":[193]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}