{"id":"https://openalex.org/W2391006565","doi":null,"title":"Hardware-oriented rate control algorithm for JPEG2000 and its VLSI architecture design","display_name":"Hardware-oriented rate control algorithm for JPEG2000 and its VLSI architecture design","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2391006565","mag":"2391006565"},"language":"en","primary_location":{"id":"mag:2391006565","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-XDKD200804011.htm","pdf_url":null,"source":{"id":"https://openalex.org/S4210223468","display_name":"Journal of Xidian University","issn_l":"1001-2400","issn":["1001-2400"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1","poland-40","russia-white-list-4"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Xidian University","raw_type":null},"parent_works":[],"lineage":["https://openalex.org/W2391006565"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":[],"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/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0234-6270","observed_orcids":["https://orcid.org/0000-0002-0234-6270","https://orcid.org/0000-0002-5239-6428"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yunsong Li","raw_affiliation_strings":["State Key Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5067798266"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9052,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77542627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0005000000237487257,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0,"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/jpeg-2000","display_name":"JPEG2000","score":0.9890000224113464},{"id":"https://openalex.org/keywords/rate-control","display_name":"rate control","score":0.8870000243186951},{"id":"https://openalex.org/keywords/ebcot","display_name":"EBCOT","score":0.8930000066757202},{"id":"https://openalex.org/keywords/vlsi-architecture","display_name":"VLSI architecture","score":0.8330000042915344},{"id":"https://openalex.org/keywords/hardware-implementation","display_name":"hardware implementation","score":0.6240000128746033},{"id":"https://openalex.org/keywords/entropy-estimation","display_name":"entropy estimation","score":0.7120000123977661},{"id":"https://openalex.org/keywords/rate-distortion-optimization","display_name":"rate-distortion optimization","score":0.7229999899864197},{"id":"https://openalex.org/keywords/memory-reduction","display_name":"memory reduction","score":0.5899999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248242497444153},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.7059794664382935},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.5676707625389099},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5591781735420227},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.5244579315185547},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.4900008738040924},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48470020294189453},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4806188941001892},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47808074951171875},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4692252576351166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4581924378871918},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44608771800994873},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4120231866836548},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.39472922682762146},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3203931748867035},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21991205215454102},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18947643041610718},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1851588487625122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14194637537002563},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.11986976861953735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08613920211791992},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2391006565","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-XDKD200804011.htm","pdf_url":null,"source":{"id":"https://openalex.org/S4210223468","display_name":"Journal of Xidian University","issn_l":"1001-2400","issn":["1001-2400"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1","poland-40","russia-white-list-4"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Xidian University","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2166102743","https://openalex.org/W1571436896","https://openalex.org/W2362314552","https://openalex.org/W2130980248","https://openalex.org/W1966000569","https://openalex.org/W6964540654","https://openalex.org/W2054207644","https://openalex.org/W2136995916","https://openalex.org/W1517115296","https://openalex.org/W2283588416"],"abstract_inverted_index":{"For":[0],"the":[1,5,11,24,42,51,54,59,63,66,74,86,94,99,103,108,115,124,130,135,142,148],"purpose":[2],"of":[3,7,13,31,53,69,78,150],"decreasing":[4],"quantity":[6],"operation":[8,104],"and":[9,39,73,133,152],"reducing":[10],"size":[12],"memory,a":[14],"new":[15],"rate":[16,25,87],"control":[17],"algorithm":[18,144],"for":[19,88,128,160],"JPEG2000":[20],"is":[21,33,47,82,111,157],"proposed":[22,143],"utilizing":[23],"pre-allocation":[26],"method,the":[27],"VLSI":[28],"architecture":[29],"design":[30],"which":[32],"given":[34],"as":[35],"well.After":[36],"wavelet":[37],"transform":[38],"quantification":[40],"on":[41],"original":[43],"image,a":[44],"prediction":[45],"module":[46],"introduced":[48],"to":[49,84,98,123],"estimate":[50,67,76],"entropy":[52,68,77],"EBCOT":[55],"code":[56,71,80,90,95,118],"block":[57,72,119],"within":[58],"available":[60],"bit-plane,and":[61],"then":[62],"proportion":[64],"between":[65],"each":[70,89],"summation":[75],"all":[79],"blocks":[81],"used":[83],"allocate":[85],"block.EBCOT":[91],"coder":[92,110],"truncates":[93],"stream":[96],"according":[97],"allocated":[100],"rate,and":[101],"thus":[102],"time":[105],"consumed":[106],"by":[107,114],"T1":[109,116],"reduced.After":[112],"coded":[113],"coder,each":[117],"can":[120,145],"be":[121],"packed":[122],"output,with":[125],"no":[126],"need":[127],"computing":[129],"rate-distortion":[131,136],"slope":[132],"completing":[134],"optimization":[137],"truncation.Experimental":[138],"results":[139],"show":[140],"that":[141,155],"efficiently":[146],"reduce":[147],"cost":[149],"computation":[151],"memory":[153],"usage,and":[154],"it":[156],"most":[158],"suitable":[159],"hardware":[161],"implementation.":[162]},"counts_by_year":[],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2016-06-24T00:00:00"}