{"id":"https://openalex.org/W2553005042","doi":"https://doi.org/10.1145/2976796.2976864","title":"HaaRGlyph","display_name":"HaaRGlyph","publication_year":2016,"publication_date":"2016-11-07","ids":{"openalex":"https://openalex.org/W2553005042","doi":"https://doi.org/10.1145/2976796.2976864","mag":"2553005042"},"language":"en","primary_location":{"id":"doi:10.1145/2976796.2976864","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2976796.2976864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web","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/A5021878477","display_name":"Felipe Maciel Rodrigues","orcid":"https://orcid.org/0000-0003-4317-9218"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe Maciel Rodrigues","raw_affiliation_strings":["Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004399169","display_name":"Juliano Koji Yugoshi","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Juliano Koji Yugoshi","raw_affiliation_strings":["Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026506271","display_name":"Rudinei Goularte","orcid":"https://orcid.org/0000-0003-1531-1576"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rudinei Goularte","raw_affiliation_strings":["Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.507,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73836559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/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":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.8368350267410278},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7226470708847046},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7126368284225464},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6867930293083191},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5762248039245605},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.5368524193763733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5288535356521606},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5212405323982239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154367685317993},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.41344016790390015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21198531985282898},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19055625796318054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08060833811759949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368350267410278},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7226470708847046},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7126368284225464},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6867930293083191},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5762248039245605},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.5368524193763733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5288535356521606},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5212405323982239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154367685317993},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.41344016790390015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21198531985282898},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19055625796318054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08060833811759949},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2976796.2976864","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2976796.2976864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web","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":27,"referenced_works":["https://openalex.org/W171520512","https://openalex.org/W1572929865","https://openalex.org/W1589118684","https://openalex.org/W1603895355","https://openalex.org/W1970724703","https://openalex.org/W1974623518","https://openalex.org/W1992842330","https://openalex.org/W1994933699","https://openalex.org/W1998663833","https://openalex.org/W2071878951","https://openalex.org/W2080283898","https://openalex.org/W2090518410","https://openalex.org/W2095013813","https://openalex.org/W2096770529","https://openalex.org/W2107745473","https://openalex.org/W2142536989","https://openalex.org/W2147123906","https://openalex.org/W2157429698","https://openalex.org/W2482083302","https://openalex.org/W2488097972","https://openalex.org/W2890345906","https://openalex.org/W3140400178","https://openalex.org/W3167402785","https://openalex.org/W4206519171","https://openalex.org/W6606938301","https://openalex.org/W7027716524","https://openalex.org/W7033865084"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W4327499886","https://openalex.org/W4294006383","https://openalex.org/W3202870363","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W2751842002","https://openalex.org/W4210455546"],"abstract_inverted_index":{"In":[0,56],"spite":[1],"of":[2,41,83],"recent":[3],"advances":[4],"in":[5,27,111],"the":[6,11,17,34,69,91,121,126,129,143],"so":[7],"called":[8],"3D":[9,48],"technology,":[10],"related":[12,144,192],"literature":[13],"reveals":[14],"that,":[15],"on":[16,101],"one":[18],"hand,":[19,36],"there":[20,37],"is":[21,38,66],"still":[22],"a":[23,39,59,74,93,183],"need":[24],"for":[25,96],"compression":[26,80,116],"order":[28,112],"to":[29,45,67,76,113,134,139,182,191],"reduce":[30],"data":[31],"volume.":[32],"On":[33],"other":[35],"lack":[40],"encoding":[42,71],"methods":[43],"capable":[44],"produce":[46],"reusable":[47],"content,":[49],"easily":[50],"interchangeable":[51],"between":[52],"different":[53,152],"visualization":[54,84,153],"modes.":[55,85],"this":[57,88],"scenario,":[58],"possible":[60],"approach,":[61],"but":[62],"yet":[63],"poorly":[64],"explored,":[65],"use":[68,155],"anaglyphic":[70,102,137],"method":[72],"as":[73,158],"means":[75],"get":[77],"both:":[78],"higher":[79],"and":[81,109,171],"independence":[82],"That":[86],"way,":[87],"work":[89],"proposes":[90],"HaaRGlyph,":[92],"new":[94],"technique":[95,130],"stereoscopic":[97,184],"video":[98],"coding":[99],"based":[100],"method.":[103],"HaaRGlyph":[104,197],"uses":[105],"spatial":[106],"coding,":[107],"lossless":[108],"lossy,":[110],"achieve":[114],"better":[115,199],"ratios":[117],"minimally":[118],"interfering":[119],"with":[120],"depth":[122],"perception":[123],"quality.":[124],"At":[125],"same":[127],"time,":[128],"preserves":[131],"enough":[132],"information":[133],"allow":[135],"an":[136],"image":[138,185],"be":[140],"reverted":[141],"into":[142],"stereo":[145,156],"pair.":[146],"This":[147],"helps":[148],"content":[149],"interchange":[150],"since":[151],"modes":[154],"pairs":[157],"input.":[159],"The":[160,187],"conduced":[161],"experiments":[162],"used":[163],"objective":[164],"metrics":[165,173],"(PSNR":[166],"-":[167,175],"Peak":[168],"Signal-to-Noise":[169],"Ratio)":[170],"subjective":[172],"(DSCQS":[174],"Double":[176],"Stimulus":[177],"Continuous":[178],"Quality":[179],"Scale)":[180],"applied":[181],"database.":[186],"results":[188],"were":[189],"compared":[190],"techniques,":[193],"pointing":[194],"out":[195],"that":[196],"achieves":[198],"results.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-11-30T00:00:00"}