{"id":"https://openalex.org/W2326910168","doi":"https://doi.org/10.1109/icawst.2014.6981844","title":"Neural network based feature point detection for image morphing","display_name":"Neural network based feature point detection for image morphing","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2326910168","doi":"https://doi.org/10.1109/icawst.2014.6981844","mag":"2326910168"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2014.6981844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2014.6981844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 6th International Conference on Awareness Science and Technology (iCAST)","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/A5081435847","display_name":"Yutaro Minakawa","orcid":null},"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":"Yutaro Minakawa","raw_affiliation_strings":["Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109308701","display_name":"Mitsuru Abe","orcid":null},"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":"Mitsuru Abe","raw_affiliation_strings":["Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112840385","display_name":"Kentaro Sekine","orcid":null},"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":"Kentaro Sekine","raw_affiliation_strings":["Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069452869","display_name":"Qiangfu Zhao","orcid":"https://orcid.org/0000-0003-3101-749X"},"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":"Qiangfu Zhao","raw_affiliation_strings":["Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Systems, The University of Aizu, Aizuwakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.2283524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking 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/T10388","display_name":"Advanced Steganography and Watermarking 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T13579","display_name":"Image and Video Stabilization","score":0.9957000017166138,"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/steganography","display_name":"Steganography","score":0.83591628074646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8186694383621216},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.7938790321350098},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7140835523605347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769292950630188},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5840649604797363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5483355522155762},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5451793074607849},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5193660855293274},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.4831344783306122},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48194384574890137},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4791547656059265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4729345142841339},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47275835275650024},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45763519406318665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10630109906196594},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10126551985740662},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06633064150810242}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.83591628074646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8186694383621216},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.7938790321350098},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7140835523605347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769292950630188},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5840649604797363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5483355522155762},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5451793074607849},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5193660855293274},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.4831344783306122},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48194384574890137},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4791547656059265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4729345142841339},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47275835275650024},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45763519406318665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10630109906196594},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10126551985740662},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06633064150810242},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1109/icawst.2014.6981844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2014.6981844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 6th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1514846806","https://openalex.org/W1883350573","https://openalex.org/W2028197392","https://openalex.org/W2038952578","https://openalex.org/W2041453687","https://openalex.org/W2046911213","https://openalex.org/W2087036498","https://openalex.org/W2124386111","https://openalex.org/W2136748848","https://openalex.org/W2533931558","https://openalex.org/W2548471321","https://openalex.org/W4254812591","https://openalex.org/W6679980566"],"related_works":["https://openalex.org/W1679315481","https://openalex.org/W3151495635","https://openalex.org/W2533357957","https://openalex.org/W1514846806","https://openalex.org/W2989873089","https://openalex.org/W2809100332","https://openalex.org/W2299048436","https://openalex.org/W2929936941","https://openalex.org/W2765501876","https://openalex.org/W2187477311"],"abstract_inverted_index":{"In":[0,111],"recent":[1],"years,":[2],"information":[3],"security":[4,58],"becomes":[5],"more":[6],"necessary":[7],"than":[8],"it":[9],"used":[10,39,125],"to":[11,20,55,207],"be.":[12],"Steganography":[13],"is":[14,38,59,86,124,135,152,163],"one":[15,155],"of":[16,62,129,142,145,156,172],"the":[17,41,44,50,57,60,63,76,80,95,114,127,130,133,136,140,143,157,161,173,179,185,190,194,198,209],"effective":[18],"mechanisms":[19],"protect":[21],"ones":[22],"privacy":[23],"and":[24,120,132,147,160,197,201],"secrets.":[25],"Recently,":[26],"we":[27,72,97,166],"proposed":[28,210],"a":[29,35,87,117,121],"morphing":[30],"based":[31,106],"steganography,":[32],"in":[33,79,91,99],"which":[34],"morphed":[36,64],"image":[37],"as":[40,47,49,126,184],"cover":[42],"image,":[43],"encryption":[45],"key,":[46],"well":[48],"stego-key.":[51],"A":[52,119,146],"key":[53],"point":[54,104,176],"ensure":[56],"\u201cnaturalness\u201d":[61],"images.":[65,83],"To":[66,93],"obtain":[67,168],"natural":[68],"images":[69],"through":[70],"morphing,":[71],"may":[73],"manually":[74],"specify":[75],"feature":[77,103,158,175],"points":[78],"given":[81,182],"reference":[82],"This,":[84],"however,":[85],"very":[88],"tedious":[89],"task":[90],"practice.":[92],"increase":[94],"efficiency,":[96],"study":[98],"this":[100,112],"paper":[101,188],"automatic":[102],"detection":[105],"on":[107],"neural":[108],"networks":[109],"(NNs).":[110],"method,":[113],"difference":[115,138],"between":[116,139],"sub-image":[118,122],"B":[123,151],"input":[128],"NN,":[131],"output":[134],"estimated":[137,170],"coordinates":[141],"centers":[144],"B.":[148],"Thus,":[149],"if":[150],"centered":[153],"by":[154],"points,":[159],"NN":[162,180],"properly":[164],"designed,":[165],"can":[167],"an":[169],"coordinate":[171],"corresponding":[174],"directly":[177],"from":[178],"output,":[181],"A-B":[183],"input.":[186],"This":[187],"introduces":[189],"process":[191],"for":[192],"obtaining":[193],"training":[195],"data":[196],"teacher":[199],"signals,":[200],"provides":[202],"some":[203],"initial":[204],"experimental":[205],"results":[206],"verify":[208],"approach.":[211]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}