{"id":"https://openalex.org/W2008221957","doi":"https://doi.org/10.1109/icip.2008.4711712","title":"Direction-adaptive partitioned block transform for image coding","display_name":"Direction-adaptive partitioned block transform for image coding","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2008221957","doi":"https://doi.org/10.1109/icip.2008.4711712","mag":"2008221957"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5006423384","display_name":"Chuo-Ling Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chuo-Ling Chang","raw_affiliation_strings":["Information Systems Laboratory, Department of Electrical Engineering, University of Stanford","Dept. of Electr. Eng., Stanford Univ., Stanford, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, Department of Electrical Engineering, University of Stanford","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Stanford Univ., Stanford, CA#TAB#","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004042863","display_name":"Bernd Girod","orcid":"https://orcid.org/0000-0001-6950-1020"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bernd Girod","raw_affiliation_strings":["Information Systems Laboratory, Department of Electrical Engineering, University of Stanford","Dept. of Electr. Eng., Stanford Univ., Stanford, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, Department of Electrical Engineering, University of Stanford","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Stanford Univ., Stanford, CA#TAB#","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006423384"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":4.2565,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94341363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"145","last_page":"148"},"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":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","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/lapped-transform","display_name":"Lapped transform","score":0.8251140713691711},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8236490488052368},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.671093225479126},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6050572395324707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5665785670280457},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5476648807525635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.529646635055542},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.5173265933990479},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5088582038879395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45675405859947205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37379080057144165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34661710262298584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3236702084541321},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2737061381340027},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05630031228065491}],"concepts":[{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.8251140713691711},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8236490488052368},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.671093225479126},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6050572395324707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665785670280457},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5476648807525635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.529646635055542},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.5173265933990479},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5088582038879395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45675405859947205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37379080057144165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34661710262298584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3236702084541321},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2737061381340027},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05630031228065491},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2008.4711712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.742.2436","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.742.2436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stanford.edu/%7Emamakar/pub_files/ChuoLingTIP.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1508280779","https://openalex.org/W1511982185","https://openalex.org/W1518301830","https://openalex.org/W1979725798","https://openalex.org/W1992891144","https://openalex.org/W2091659514","https://openalex.org/W2095776733","https://openalex.org/W2098559361","https://openalex.org/W2106219841","https://openalex.org/W2106400387","https://openalex.org/W2108197765","https://openalex.org/W2111082359","https://openalex.org/W2118217749","https://openalex.org/W2129768577","https://openalex.org/W2132012332","https://openalex.org/W2133833176","https://openalex.org/W2139396730","https://openalex.org/W2140199336","https://openalex.org/W2148304749","https://openalex.org/W2150013946","https://openalex.org/W2154952447","https://openalex.org/W2157020287","https://openalex.org/W2159449325","https://openalex.org/W2165101139","https://openalex.org/W2170622381","https://openalex.org/W2172057245","https://openalex.org/W4302366751"],"related_works":["https://openalex.org/W2258231948","https://openalex.org/W2094583657","https://openalex.org/W2111266495","https://openalex.org/W2162505377","https://openalex.org/W2112852877","https://openalex.org/W2115252864","https://openalex.org/W2119239074","https://openalex.org/W2106400387","https://openalex.org/W2133833176","https://openalex.org/W2128618986"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,22,38,77,97],"direction-adaptive":[3,80],"block":[4,39],"transform":[5,62,94],"that":[6,59],"exploits":[7],"the":[8,14,29,60,64,92,108],"directionality":[9],"in":[10,52],"images":[11],"to":[12,71,84,101],"improve":[13],"compression":[15],"performance.":[16],"It":[17,74],"can":[18,42],"be":[19,43],"viewed":[20],"as":[21],"generalization":[23],"of":[24,31,99],"variable":[25,65],"block-size":[26,66],"transforms":[27],"with":[28,46,89,107],"inclusion":[30],"non-rectangular":[32],"partitions":[33],"and":[34,49],"directional":[35],"transforms.":[36],"As":[37],"transform,":[40],"it":[41],"directly":[44],"combined":[45,88],"block-wise":[47],"intra":[48,90,105],"inter":[50],"prediction":[51,106],"video":[53],"coding":[54],"standards.":[55],"Experimental":[56],"results":[57],"show":[58],"proposed":[61,79,93],"outperforms":[63,76],"2-D":[67,109],"DCT":[68,81],"by":[69,82],"up":[70,83],"3":[72],"dB.":[73,86],"also":[75],"previously":[78],"2":[85,102],"When":[87],"prediction,":[91],"further":[95],"provides":[96],"gain":[98],"0.5":[100],"dB":[103],"upon":[104],"DCT.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
