{"id":"https://openalex.org/W2153057630","doi":"https://doi.org/10.1109/icpr.2008.4760966","title":"A robust front page detection algorithm for large periodical collections","display_name":"A robust front page detection algorithm for large periodical collections","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2153057630","doi":"https://doi.org/10.1109/icpr.2008.4760966","mag":"2153057630"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4760966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5069064865","display_name":"Iuliu Konya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Iuliu Konya","raw_affiliation_strings":["Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039980660","display_name":"Christoph Seibert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Seibert","raw_affiliation_strings":["Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039473426","display_name":"Sebastian Glahn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Glahn","raw_affiliation_strings":["Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046841134","display_name":"Stefan Eickeler","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Eickeler","raw_affiliation_strings":["Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069064865"],"corresponding_institution_ids":["https://openalex.org/I4210144576"],"apc_list":null,"apc_paid":null,"fwci":0.355,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67727409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9993000030517578,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7255793213844299},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.6233940720558167},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.586585521697998},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47921234369277954},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47056150436401367},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.440591037273407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4376108646392822},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4279831051826477},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4122997522354126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3919546902179718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33378541469573975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24501830339431763},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2125755250453949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255793213844299},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.6233940720558167},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.586585521697998},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47921234369277954},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47056150436401367},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.440591037273407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4376108646392822},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4279831051826477},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4122997522354126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3919546902179718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33378541469573975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24501830339431763},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2125755250453949},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpr.2008.4760966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.4936","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.4936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/MoAT5.3.pdf","raw_type":"text"},{"id":"pmh:oai:fraunhofer.de:N-93611","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-93611.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IAIS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/359912","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/359912","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W99136341","https://openalex.org/W1492380776","https://openalex.org/W1973042860","https://openalex.org/W1980911747","https://openalex.org/W2017787659","https://openalex.org/W2028781966","https://openalex.org/W2033341974","https://openalex.org/W2041995828","https://openalex.org/W2045527716","https://openalex.org/W2052165970","https://openalex.org/W2069727267","https://openalex.org/W2079525773","https://openalex.org/W2080850829","https://openalex.org/W2106124775","https://openalex.org/W2107266793","https://openalex.org/W2122499640","https://openalex.org/W2124404372","https://openalex.org/W2127319406","https://openalex.org/W2161846515","https://openalex.org/W2740373864","https://openalex.org/W2917583897","https://openalex.org/W6604080519","https://openalex.org/W6670435977","https://openalex.org/W6675540410"],"related_works":["https://openalex.org/W2359979928","https://openalex.org/W2368353614","https://openalex.org/W2390369954","https://openalex.org/W1529719486","https://openalex.org/W2373917503","https://openalex.org/W1883162576","https://openalex.org/W2906423005","https://openalex.org/W4232052003","https://openalex.org/W2385297469","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Large-scale":[0],"digitization":[1],"projects":[2],"aimed":[3],"at":[4],"periodicals":[5],"often":[6],"have":[7],"as":[8],"input":[9],"streams":[10],"of":[11,26,38,71,102,137],"completely":[12],"unlabeled":[13],"document":[14,28,40],"images.":[15],"In":[16],"such":[17],"situations,":[18],"the":[19,23,27,34,48,63,68,72,99,114,118,133,138],"results":[20],"produced":[21],"by":[22,94],"automatic":[24],"segmentation":[25,50],"stream":[29],"into":[30],"issues":[31],"heavily":[32],"influence":[33],"overall":[35],"output":[36],"quality":[37],"a":[39,45,55,77,89,126],"image":[41],"analysis":[42],"system.":[43],"As":[44],"solution":[46],"to":[47,112],"issue":[49],"problem,":[51],"this":[52],"paper":[53],"introduces":[54],"robust,":[56],"two-step":[57],"front":[58,69],"page":[59,70],"detection":[60],"algorithm.":[61],"First,":[62],"salient":[64],"connected":[65],"components":[66],"from":[67],"periodical":[73],"are":[74],"described":[75],"using":[76],"multi-dimensional":[78],"Gaussian":[79],"distribution":[80],"based":[81],"on":[82,98,125],"discrete":[83],"cosine":[84],"transform":[85],"(DCT)":[86],"features.":[87],"Second,":[88],"graph":[90,107],"model":[91,119],"is":[92,110],"computed":[93],"applying":[95],"Delaunay":[96],"triangulation":[97],"selected":[100],"set":[101,131],"components.":[103],"A":[104],"specialized,":[105],"error-tolerant":[106],"matching":[108],"algorithm":[109],"used":[111],"compute":[113],"distance":[115],"score":[116],"between":[117],"and":[120,135],"each":[121],"candidate":[122],"page.":[123],"Experiments":[124],"large,":[127],"real-world":[128],"newspaper":[129],"data":[130],"demonstrate":[132],"generality":[134],"effectiveness":[136],"proposed":[139],"method.":[140]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
