乐胖代购免代理版

{"id":"https://openalex.org/W2762501618","doi":"https://doi.org/10.4018/ijaci.2018010107","title":"Fractal Coding Based Video Compression Using Weighted Finite Automata","display_name":"Fractal Coding Based Video Compression Using Weighted Finite Automata","publication_year":2017,"publication_date":"2017-10-11","ids":{"openalex":"https://openalex.org/W2762501618","doi":"https://doi.org/10.4018/ijaci.2018010107","mag":"2762501618"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2018010107","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5050474422","display_name":"Shailesh D. Kamble","orcid":"https://orcid.org/0000-0002-3514-6638"},"institutions":[{"id":"https://openalex.org/I4210106255","display_name":"Yashwantrao Chavan Maharashtra Open University","ror":"https://ror.org/01kxpxf76","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210106255"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shailesh D. Kamble","raw_affiliation_strings":["Computer Science & Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India","institution_ids":["https://openalex.org/I4210106255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088605872","display_name":"Nileshsingh V. Thakur","orcid":"https://orcid.org/0000-0002-7097-0868"},"institutions":[],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nileshsingh V. Thakur","raw_affiliation_strings":["Computer Science & Engineering, Prof Ram Meghe College of Engineering and Management, Amravati, India"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Prof Ram Meghe College of Engineering and Management, Amravati, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015636484","display_name":"Preeti Bajaj","orcid":"https://orcid.org/0000-0002-7759-8026"},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Preeti R. Bajaj","raw_affiliation_strings":["Electronics Engineering, G. H. Raisoni College of Engineering, Nagpur, India"],"affiliations":[{"raw_affiliation_string":"Electronics Engineering, G. H. Raisoni College of Engineering, Nagpur, India","institution_ids":["https://openalex.org/I4210146358"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.604,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.709204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":"9","issue":"1","first_page":"115","last_page":"133"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9955,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9955,"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/T10588","display_name":"Mathematical Dynamics and Fractals","score":0.9953,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.994,"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/fractal-compression","display_name":"Fractal compression","score":0.5746449},{"id":"https://openalex.org/keywords/fractal-transform","display_name":"Fractal transform","score":0.41091073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67944795},{"id":"https://openalex.org/C109116516","wikidata":"https://www.wikidata.org/wiki/Q2872","display_name":"Fractal compression","level":5,"score":0.5746449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5580111},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.54510623},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.50765646},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49071562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48527405},{"id":"https://openalex.org/C162494671","wikidata":"https://www.wikidata.org/wiki/Q2845227","display_name":"Fractal analysis","level":4,"score":0.45378822},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.44593078},{"id":"https://openalex.org/C144112376","wikidata":"https://www.wikidata.org/wiki/Q5477512","display_name":"Fractal transform","level":5,"score":0.41091073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40898633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30372375},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.29568714},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27835643},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.17176184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0903559},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0829719},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2018010107","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":32,"referenced_works":["https://openalex.org/W1967051405","https://openalex.org/W1971837917","https://openalex.org/W1991124685","https://openalex.org/W1994685695","https://openalex.org/W2008090684","https://openalex.org/W2010459286","https://openalex.org/W2018694057","https://openalex.org/W2037011365","https://openalex.org/W2063405881","https://openalex.org/W2065061965","https://openalex.org/W2079379948","https://openalex.org/W2085991076","https://openalex.org/W2099124466","https://openalex.org/W2104923161","https://openalex.org/W2112432559","https://openalex.org/W2112469458","https://openalex.org/W2145251738","https://openalex.org/W2152478900","https://openalex.org/W2159293115","https://openalex.org/W2169030527","https://openalex.org/W2170389123","https://openalex.org/W2171075446","https://openalex.org/W2519867787","https://openalex.org/W2546764266","https://openalex.org/W2556057688","https://openalex.org/W2557141397","https://openalex.org/W2567147833","https://openalex.org/W3674265","https://openalex.org/W4206546175","https://openalex.org/W4235381948","https://openalex.org/W4243154030","https://openalex.org/W85064284"],"related_works":["https://openalex.org/W4288450835","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W3014458395","https://openalex.org/W2387043686","https://openalex.org/W2378555636","https://openalex.org/W2129829718","https://openalex.org/W1998642545","https://openalex.org/W1986883746","https://openalex.org/W1544850754"],"abstract_inverted_index":{"Main":[0],"objective":[1],"of":[2,71,136,163,170,174,182,195,212],"the":[3,19,31,37,41,46,53,59,69,74,107,122,134,160,172,179,203,210,226],"proposed":[4,25],"work":[5,26],"is":[6,36,50,165,189,207,214,230],"to":[7,155,193],"develop":[8],"an":[9,65],"approach":[10],"for":[11,52,167,184,198],"video":[12,110,228],"coding":[13,17,43,54,94],"based":[14,67],"on":[15,29,68,84,91,106,121,133,202],"Fractal":[16,42,60],"using":[18],"weighted":[20],"finite":[21],"automata":[22],"(WFA).":[23],"The":[24,80,101],"only":[27],"focuses":[28],"reducing":[30],"encoding":[32,141],"time":[33],"as":[34,55],"this":[35],"basic":[38],"limitation":[39],"why":[40],"not":[44],"becomes":[45],"practical":[47],"reality.":[48],"WFA":[49,63,82,197],"used":[51],"it":[56,188,206],"behaves":[57],"like":[58],"Coding":[61],"(FC).":[62],"represents":[64],"image":[66,75],"idea":[70],"fractal":[72],"that":[73,209],"has":[76],"self-similarity":[77],"in":[78,216,232],"itself.":[79],"plane":[81],"(applied":[83,90],"every":[85,92,168],"frame),":[86],"and":[87,120,127,152,187,223,240],"Plane":[88],"FC":[89],"frame)":[93],"approaches":[95,130],"are":[96,103,131],"compared":[97,132],"with":[98,234],"each":[99],"other.":[100],"experimentations":[102],"carried":[104],"out":[105],"standard":[108],"uncompressed":[109],"databases,":[111],"namely,":[112,125,140,218,237],"Traffic,":[113,219],"Paris,":[114,221],"Bus,":[115,220],"Akiyo,":[116,224],"Mobile,":[117,222],"Suzie":[118],"etc.":[119],"recorded":[123],"video,":[124],"Geometry":[126],"Circle.":[128],"Developed":[129],"basis":[135],"performance":[137],"evaluation":[138],"parameters,":[139],"time,":[142,144],"decoding":[143],"compression":[145,147],"ratio,":[146],"percentage,":[148],"bits":[149],"per":[150],"pixel":[151],"Peak":[153],"Signal":[154],"Noise":[156],"Ratio":[157],"(PSNR).":[158],"Though":[159],"initial":[161],"number":[162,181,211],"states":[164,183,213],"256":[166],"frame":[169],"all":[171],"types":[173],"videos,":[175],"but":[176],"we":[177],"got":[178],"different":[180,185],"frames":[186],"quite":[190],"obvious":[191],"due":[192],"minimality":[194],"constructed":[196],"respective":[199],"frame.":[200],"Based":[201],"obtained":[204],"results,":[205],"observed":[208],"more":[215],"videos":[217,236],"therefore":[225],"reconstructed":[227],"quality":[229],"good":[231],"comparison":[233],"other":[235],"Circle,":[238],"Suzie,":[239],"Geometry.":[241]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2762501618","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-03-23T09:25:04.655674","created_date":"2017-10-20"}