{"id":"https://openalex.org/W2131941122","doi":"https://doi.org/10.1109/icme.2004.1394247","title":"Optimized DCT domain motion vector estimation in frame skipped transcoding","display_name":"Optimized DCT domain motion vector estimation in frame skipped transcoding","publication_year":2005,"publication_date":"2005-03-07","ids":{"openalex":"https://openalex.org/W2131941122","doi":"https://doi.org/10.1109/icme.2004.1394247","mag":"2131941122"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2004.1394247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","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/A5080152855","display_name":"Shouwen Lai","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":"ShouWen Lai","raw_affiliation_strings":["Computer Science Department, Tsinghua University, Beijing, China","Department of computer Science, TsingHua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of computer Science, TsingHua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103109916","display_name":"LI Fen","orcid":"https://orcid.org/0000-0003-1949-9692"},"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":"Li Fen","raw_affiliation_strings":["Computer Science Department, Tsinghua University, Beijing, China","Department of computer Science, TsingHua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of computer Science, 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":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26080803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"535","last_page":"538"},"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.994700014591217,"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/transcoding","display_name":"Transcoding","score":0.9156642556190491},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.8914334774017334},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.7581468820571899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440451383590698},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7239251136779785},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6681680679321289},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6528337001800537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6244044303894043},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.609569787979126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5485131144523621},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.49127882719039917},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4656413793563843},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.43318092823028564},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.43314769864082336},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4263031780719757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37601813673973083},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.175086110830307},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16123533248901367},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.14393258094787598},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.11477729678153992},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07544341683387756}],"concepts":[{"id":"https://openalex.org/C134535813","wikidata":"https://www.wikidata.org/wiki/Q1888734","display_name":"Transcoding","level":2,"score":0.9156642556190491},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.8914334774017334},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.7581468820571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440451383590698},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7239251136779785},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6681680679321289},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6528337001800537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6244044303894043},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.609569787979126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5485131144523621},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.49127882719039917},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4656413793563843},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.43318092823028564},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.43314769864082336},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4263031780719757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37601813673973083},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.175086110830307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16123533248901367},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.14393258094787598},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.11477729678153992},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07544341683387756},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2004.1394247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","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":8,"referenced_works":["https://openalex.org/W1733086691","https://openalex.org/W1893932201","https://openalex.org/W2029142287","https://openalex.org/W2117373478","https://openalex.org/W2143589929","https://openalex.org/W2169435058","https://openalex.org/W2170359664","https://openalex.org/W6639612170"],"related_works":["https://openalex.org/W1908632621","https://openalex.org/W2137491422","https://openalex.org/W2545462981","https://openalex.org/W1969136679","https://openalex.org/W2151770288","https://openalex.org/W2070879308","https://openalex.org/W1579940903","https://openalex.org/W2546764266","https://openalex.org/W4250500397","https://openalex.org/W2402259974"],"abstract_inverted_index":{"Transcoding":[0],"gets":[1],"trade-off":[2],"between":[3],"quality":[4],"and":[5,34,64,108],"computation":[6],"complexity":[7],"for":[8,24,41],"converting":[9],"one":[10],"compressed":[11,16,73],"video":[12],"bit-stream":[13],"into":[14],"another":[15],"bit-stream.":[17],"When":[18],"some":[19],"incoming":[20],"frames":[21],"are":[22],"skipped":[23],"the":[25,30,35,60,67,79,83,102],"frame-rate":[26],"reduction":[27],"in":[28,72],"transcoding,":[29],"new":[31,36,61,68,76,103],"motion":[32,53,62,80,91],"vectors":[33,63],"quantized":[37],"residual":[38,69],"DCT":[39,51,70],"coefficients":[40,71],"outgoing":[42],"bitstream":[43],"should":[44],"be":[45],"re-computed.":[46],"We":[47],"propose":[48],"a":[49],"optimized":[50],"domain":[52],"vector":[54,81,92],"estimation":[55],"scheme":[56],"(ODME)":[57],"to":[58,65],"generate":[59],"compute":[66],"domain.":[74],"The":[75],"approach":[77,104],"selects":[78],"with":[82,99],"least":[84],"prediction":[85],"error":[86],"from":[87],"3":[88],"candidates":[89],"without":[90],"refinement.":[93],"Experimental":[94],"results":[95],"show":[96],"that,":[97],"compared":[98],"conventional":[100],"schemes,":[101],"is":[105],"more":[106],"efficient":[107],"can":[109],"get":[110],"high":[111],"quality.":[112]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
