{"id":"https://openalex.org/W2034827972","doi":"https://doi.org/10.4304/jmm.7.2.179-192","title":"Assessing Sparse Coding Methods for Contextual Shape Indexing of Maya Hieroglyphs","display_name":"Assessing Sparse Coding Methods for Contextual Shape Indexing of Maya Hieroglyphs","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2034827972","doi":"https://doi.org/10.4304/jmm.7.2.179-192","mag":"2034827972"},"language":"en","primary_location":{"id":"doi:10.4304/jmm.7.2.179-192","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.7.2.179-192","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/192602","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069505449","display_name":"Edgar Rom\u00e1n-Rangel","orcid":"https://orcid.org/0000-0002-0590-1698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Edgar Roman-Rangel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053358969","display_name":"Jean\u2010Marc Odobez","orcid":"https://orcid.org/0000-0002-9537-9898"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Marc Odobez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012965551","display_name":"Daniel G\u00e1tica-P\u00e9rez","orcid":"https://orcid.org/0000-0001-5488-2182"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Gatica-Perez","raw_affiliation_strings":["IDIAP research institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDIAP research institute","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5447,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67835616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"2","first_page":null,"last_page":null},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9933000206947327,"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":0.767312228679657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6630971431732178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6027906537055969},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5496925711631775},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5410171747207642},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5339540243148804},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.530208945274353},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4591405391693115},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44330549240112305},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4262334406375885},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.42262423038482666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1602630317211151},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09662586450576782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767312228679657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6630971431732178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6027906537055969},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5496925711631775},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5410171747207642},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5339540243148804},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.530208945274353},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4591405391693115},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44330549240112305},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4262334406375885},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42262423038482666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1602630317211151},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09662586450576782},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.4304/jmm.7.2.179-192","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.7.2.179-192","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.300.195","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.idiap.ch/~gatica/publications/RomanOdobezGatica-jmm12.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:192602","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/192602","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:192602","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/98421","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:192602","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/192602","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1660390307","https://openalex.org/W2004931144","https://openalex.org/W2017214807","https://openalex.org/W2025533469","https://openalex.org/W2056758595","https://openalex.org/W2057175746","https://openalex.org/W2069959554","https://openalex.org/W2090042335","https://openalex.org/W2092650846","https://openalex.org/W2097018403","https://openalex.org/W2100502520","https://openalex.org/W2100968369","https://openalex.org/W2105026917","https://openalex.org/W2105464873","https://openalex.org/W2111736068","https://openalex.org/W2112447569","https://openalex.org/W2113606819","https://openalex.org/W2116148865","https://openalex.org/W2131115248","https://openalex.org/W2131846894","https://openalex.org/W2133014420","https://openalex.org/W2145889472","https://openalex.org/W2146950091","https://openalex.org/W2147434872","https://openalex.org/W2150409012","https://openalex.org/W2150593711","https://openalex.org/W2151693816","https://openalex.org/W2154301842","https://openalex.org/W2160547390","https://openalex.org/W2162931300","https://openalex.org/W2170818070","https://openalex.org/W6676727762","https://openalex.org/W6676903177","https://openalex.org/W6683965311"],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W2982240858","https://openalex.org/W4205656132","https://openalex.org/W2008821896","https://openalex.org/W3004790527","https://openalex.org/W2067062989","https://openalex.org/W2080187108","https://openalex.org/W2972860561"],"abstract_inverted_index":{"Abstract":[0],"\u2014":[1,189],"Bag-of-visual-words":[2],"or":[3],"bag-of-visterms":[4],"(bov)":[5],"is":[6,177],"a":[7,77,153,171],"common":[8],"technique":[9],"used":[10,80],"to":[11,81,102,137,144],"index":[12],"Multimedia":[13],"information":[14],"with":[15,66,142],"the":[16,27,39,51,57,67,74,83,96,107,116,133,146,157,162],"purposes":[17],"of":[18,29,34,53,56,76,86,98,119,132,156],"retrieval":[19,45,117,163],"and":[20,49,63,92],"classification.":[21],"In":[22],"this":[23],"work":[24],"we":[25,47,93,151],"address":[26],"problem":[28],"constructing":[30],"efficient":[31],"bov":[32,104],"representations":[33,141],"complex":[35],"shapes":[36],"as":[37],"are":[38,89,182],"Maya":[40,167,196],"syllabic":[41],"hieroglyphs.":[42],"Based":[43],"on":[44],"experiments,":[46],"assess":[48,95],"evaluate":[50],"performance":[52,97],"several":[54],"variants":[55],"recent":[58],"sparse":[59,84,192],"coding":[60],"method":[61],"KSVD,":[62],"compare":[64],"it":[65],"traditional":[68],"k-means":[69],"clustering":[70],"algorithm.":[71],"We":[72],"investigate":[73],"effects":[75],"thresholding":[78],"procedure":[79],"facilitate":[82],"decomposition":[85],"signals":[87],"that":[88,160],"potentially":[90],"sparse,":[91],"also":[94],"different":[99],"pooling":[100],"techniques":[101],"construct":[103],"representations.":[105],"Although":[106],"bov\u2019s":[108],"computed":[109,121],"via":[110],"Sparse":[111],"Coding":[112],"do":[113],"not":[114],"outperform":[115],"precision":[118],"those":[120],"by":[122],"k-means,":[123],"they":[124],"achieve":[125],"competitive":[126],"results":[127],"after":[128],"an":[129],"adequate":[130],"enforcement":[131],"sparsity,":[134],"which":[135,181],"leads":[136],"more":[138],"discriminative":[139],"bag":[140],"respect":[143],"using":[145],"original":[147],"non-sparse":[148],"descriptors.":[149],"Also,":[150],"propose":[152],"simplified":[154],"formulation":[155],"HOOSC":[158],"descriptor":[159],"improves":[161],"performance.":[164],"Figure":[165],"1.":[166],"inscription":[168,176],"found":[169],"in":[170,173,179],"lintel":[172],"Yaxchilan.":[174],"The":[175],"rich":[178],"hieroglyphs":[180],"cataloged":[183],"manually.":[184],"\u00a9":[185],"AJIMAYA.":[186],"Index":[187],"Terms":[188],"indexing,":[190],"clustering,":[191],"coding,":[193],"shape":[194],"descriptor,":[195],"culture,":[197],"hieroglyph.":[198],"I.":[199]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
