{"id":"https://openalex.org/W2120624711","doi":"https://doi.org/10.1109/pcs.2010.5702517","title":"Compression of pre-computed per-pixel texture features using MDS","display_name":"Compression of pre-computed per-pixel texture features using MDS","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2120624711","doi":"https://doi.org/10.1109/pcs.2010.5702517","mag":"2120624711"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2010.5702517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058738756","display_name":"Wai\u2010Man Pang","orcid":"https://orcid.org/0000-0002-4554-4517"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wai-Man Pang","raw_affiliation_strings":["Spatial Media Group, Computer Arts Laboratory, University of Aizu, Aizu-Wakamatsu, Japan","Spatial Media Group, Computer Arts Lab., University of Aizu, Aizu-Wakamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spatial Media Group, Computer Arts Laboratory, University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"Spatial Media Group, Computer Arts Lab., University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084401728","display_name":"Hon\u2010Cheng Wong","orcid":"https://orcid.org/0000-0001-5884-1417"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Hon-Cheng Wong","raw_affiliation_strings":["Macau University of Science and Technology, Macao, China","Faculty of Information Technology, Macau University of Science and Technology, Macao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.24299515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":null,"first_page":"390","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9765999913215637,"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":0.7750422954559326},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.6994471549987793},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.687822699546814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6504281759262085},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.631960391998291},{"id":"https://openalex.org/keywords/precomputation","display_name":"Precomputation","score":0.6121507287025452},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5229185819625854},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5049362778663635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4942903518676758},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4940181374549866},{"id":"https://openalex.org/keywords/uncompressed-video","display_name":"Uncompressed video","score":0.4381864368915558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42989492416381836},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.415882408618927},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13081136345863342},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.07764396071434021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750422954559326},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.6994471549987793},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.687822699546814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6504281759262085},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.631960391998291},{"id":"https://openalex.org/C159379195","wikidata":"https://www.wikidata.org/wiki/Q7239568","display_name":"Precomputation","level":3,"score":0.6121507287025452},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5229185819625854},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5049362778663635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4942903518676758},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4940181374549866},{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.4381864368915558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42989492416381836},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.415882408618927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13081136345863342},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.07764396071434021},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs.2010.5702517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","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":20,"referenced_works":["https://openalex.org/W51669927","https://openalex.org/W1489900277","https://openalex.org/W1499486838","https://openalex.org/W1571401318","https://openalex.org/W2014565677","https://openalex.org/W2038836824","https://openalex.org/W2059432853","https://openalex.org/W2083479198","https://openalex.org/W2125148312","https://openalex.org/W2130259898","https://openalex.org/W2137570937","https://openalex.org/W2145519405","https://openalex.org/W2163363072","https://openalex.org/W2911956715","https://openalex.org/W3149684929","https://openalex.org/W4237843544","https://openalex.org/W4253827861","https://openalex.org/W4255747608","https://openalex.org/W6602129236","https://openalex.org/W6634228127"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2359713774","https://openalex.org/W2035842265","https://openalex.org/W2115502907"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"successful":[3],"experiences":[4],"employing":[5],"texture":[6,20,37,69,82,152],"analysis":[7,21],"to":[8,50,63,102,154],"improve":[9],"the":[10,36,56,65,76,91,104,131,141],"accuracy":[11],"and":[12,33,157],"robustness":[13],"of":[14,35,58,67,71,93,113],"image":[15,73],"segmentation.":[16,80],"Usually,":[17],"per-pixel":[18,68],"based":[19],"is":[22,44,99],"required,":[23],"which":[24,43],"involves":[25,39],"intensive":[26],"computation":[27],"especially":[28],"for":[29,79],"large":[30,40,87],"images.":[31],"Precomputation":[32],"storing":[34],"features":[38,70,83,153],"file":[41],"space":[42],"not":[45],"cost":[46],"effective.":[47],"To":[48],"adopt":[49],"these":[51],"novel":[52],"needs,":[53],"we":[54],"propose":[55],"use":[57],"multidimensional":[59],"scaling":[60],"(MDS)":[61],"technique":[62],"reduce":[64],"size":[66],"an":[72,119],"while":[74],"preserving":[75],"textural":[77],"discrminiability":[78],"Per-pixel":[81],"will":[84,150],"create":[85],"very":[86],"dissimilarity":[88],"matrix,":[89],"making":[90],"solving":[92],"MDS":[94,98],"intractable.":[95],"A":[96,110],"sampling-based":[97],"therefore":[100],"introduced":[101],"tackle":[103],"problem":[105],"with":[106,118],"a":[107,148],"divide-and-conquer":[108],"approach.":[109],"compression":[111],"ratio":[112],"1:24":[114],"can":[115],"be":[116,155],"achieved":[117],"average":[120],"error":[121],"rate":[122],"lower":[123],"than":[124],"7%.":[125],"Preliminary":[126],"experiments":[127],"on":[128,161],"segmentation":[129],"using":[130,140],"compressed":[132],"data":[133],"show":[134],"satisfactory":[135],"results":[136],"as":[137,139],"good":[138],"uncompressed":[142],"features.":[143],"We":[144],"foresee":[145],"that":[146],"such":[147],"method":[149],"allow":[151],"stored":[156],"transferred":[158],"more":[159],"efficiently":[160],"low":[162],"processing":[163],"power":[164],"devices":[165],"or":[166],"embedded":[167],"systems":[168],"like":[169],"mobile":[170],"phones.":[171]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}