{"id":"https://openalex.org/W2029151797","doi":"https://doi.org/10.1109/vcip.2011.6115902","title":"Adaptive raster scan for slice/frame coding","display_name":"Adaptive raster scan for slice/frame coding","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2029151797","doi":"https://doi.org/10.1109/vcip.2011.6115902","mag":"2029151797"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2011.6115902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6115902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","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/A5023967844","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0001-6655-3888"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["Information Technology Research Organization, Waseda University, Fukuoka, Japan","[Information Technology Research Organization, Waseda University, Fukuoka, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Research Organization, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"[Information Technology Research Organization, Waseda University, Fukuoka, Japan]","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101825973","display_name":"Satoshi Goto","orcid":"https://orcid.org/0000-0002-6387-048X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Goto","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan","[Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"[Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan]","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09908034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9941999912261963,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9941999912261963,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9937999844551086,"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":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/raster-scan","display_name":"Raster scan","score":0.7724899053573608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7145746946334839},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6640843152999878},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.6513674259185791},{"id":"https://openalex.org/keywords/scan-line","display_name":"Scan line","score":0.6262259483337402},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5125141143798828},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4433871805667877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43773406744003296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095461666584015},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.34687525033950806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14276814460754395},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06962758302688599},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.06939831376075745}],"concepts":[{"id":"https://openalex.org/C145406643","wikidata":"https://www.wikidata.org/wiki/Q2641959","display_name":"Raster scan","level":2,"score":0.7724899053573608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145746946334839},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6640843152999878},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.6513674259185791},{"id":"https://openalex.org/C142748172","wikidata":"https://www.wikidata.org/wiki/Q3240002","display_name":"Scan line","level":4,"score":0.6262259483337402},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5125141143798828},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4433871805667877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43773406744003296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095461666584015},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.34687525033950806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14276814460754395},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06962758302688599},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.06939831376075745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2011.6115902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6115902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","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":2,"referenced_works":["https://openalex.org/W2979990382","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W89604338","https://openalex.org/W2070855750","https://openalex.org/W2094738329","https://openalex.org/W2158211267","https://openalex.org/W2028294394","https://openalex.org/W4321264152","https://openalex.org/W1987164384","https://openalex.org/W2374429742","https://openalex.org/W2164805551","https://openalex.org/W2083534336"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"new":[3],"raster":[4],"scan":[5,12,52,59],"orders":[6],"other":[7],"than":[8],"the":[9,14,18,28,34,46,51],"conventional":[10,47],"horizontal":[11],"from":[13,27],"top-left":[15],"corner":[16],"of":[17],"image/slice":[19],"are":[20,55,61],"proposed":[21],"to":[22,31,41,66],"fully":[23],"exploit":[24],"content":[25],"correlation":[26],"regions":[29],"right":[30],"and":[32,63],"below":[33],"current":[35],"coding":[36,75],"unit.":[37],"By":[38],"being":[39],"applied":[40],"each":[42],"slice/frame":[43],"adaptively":[44],"with":[45,76],"one,":[48],"features":[49],"influencing":[50],"order":[53],"selection":[54],"investigated.":[56],"Different":[57],"adaptive":[58],"schemes":[60],"tested":[62],"compared.":[64],"Up":[65],"3.4%":[67],"bit-rate":[68],"reduction":[69],"can":[70],"be":[71],"achieved":[72],"for":[73],"Intra":[74],"limited":[77],"increase":[78],"in":[79],"complexity.":[80]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
