{"id":"https://openalex.org/W2546837429","doi":"https://doi.org/10.1109/icacci.2016.7732354","title":"Image hashing by SDQ-CSLBP","display_name":"Image hashing by SDQ-CSLBP","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2546837429","doi":"https://doi.org/10.1109/icacci.2016.7732354","mag":"2546837429"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2016.7732354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5028693190","display_name":"Varsha Patil","orcid":"https://orcid.org/0000-0002-4267-616X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Varsha Patil","raw_affiliation_strings":["Dept. of Computer Engineering, Thadomal Shahani College of Engineering, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Thadomal Shahani College of Engineering, Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028806333","display_name":"Tanuja Sarode","orcid":"https://orcid.org/0000-0002-2167-8289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tanuja Sarode","raw_affiliation_strings":["Dept. of Computer Engineering, Thadomal Shahani College of Engineering, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Thadomal Shahani College of Engineering, Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028693190"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.336,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87143169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":null,"first_page":"2057","last_page":"2063"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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/T11439","display_name":"Video Analysis and Summarization","score":0.982200026512146,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6875441670417786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.66068434715271},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6576547622680664},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6518523693084717},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6415247917175293},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.573764443397522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5705544948577881},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5123757123947144},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5093702077865601},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4248586595058441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41710638999938965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41438060998916626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3517863154411316},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29391565918922424},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.22077429294586182},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.06691965460777283}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6875441670417786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66068434715271},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6576547622680664},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6518523693084717},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6415247917175293},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.573764443397522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5705544948577881},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5123757123947144},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5093702077865601},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4248586595058441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41710638999938965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41438060998916626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3517863154411316},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29391565918922424},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.22077429294586182},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.06691965460777283},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2016.7732354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W58097177","https://openalex.org/W1985636418","https://openalex.org/W1986024748","https://openalex.org/W1986156885","https://openalex.org/W1993417448","https://openalex.org/W1996141330","https://openalex.org/W1999553202","https://openalex.org/W2017950063","https://openalex.org/W2031683984","https://openalex.org/W2036924016","https://openalex.org/W2039051707","https://openalex.org/W2068142860","https://openalex.org/W2078613534","https://openalex.org/W2088555362","https://openalex.org/W2095432657","https://openalex.org/W2096571195","https://openalex.org/W2140345984","https://openalex.org/W2163352848","https://openalex.org/W2170735389","https://openalex.org/W2183964636","https://openalex.org/W2396209768","https://openalex.org/W2493819869","https://openalex.org/W2807985910","https://openalex.org/W6752274990"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W2059244188","https://openalex.org/W2106653363","https://openalex.org/W2960611766","https://openalex.org/W2416959398","https://openalex.org/W4211126162","https://openalex.org/W1595732891","https://openalex.org/W1981124010","https://openalex.org/W3087964089"],"abstract_inverted_index":{"Approach":[0],"for":[1,71,127],"image":[2,18,90],"hashing":[3,19],"is":[4,34,48,77,114,123,164],"to":[5,138,172],"use":[6],"powerful":[7,52,117],"feature":[8,54,76,99],"descriptor":[9,55],"which":[10,56,110],"captures":[11,57],"essence":[12],"of":[13,17,24,39,50,61,88,95,121,124,130],"an":[14,40,72,89,131],"image.":[15,41,73,132],"Applications":[16],"lies":[20],"in":[21],"the":[22,51,58,143,161],"area":[23],"content":[25,167,173],"authentication,":[26],"structural":[27,176],"tampering":[28],"detection,":[29],"retrieval":[30],"and":[31,170,175],"recognition.":[32],"Hashing":[33],"a":[35,80,116,148],"compact":[36],"summarized":[37],"information":[38],"Center":[42],"Symmetric":[43],"Local":[44],"Binary":[45],"Pattern":[46],"(CSLBP)":[47],"one":[49],"texture":[53,98],"smallest":[59],"amount":[60],"change.":[62],"Using":[63],"CSLBP,":[64],"appressed":[65],"hash":[66],"code":[67],"can":[68,135],"be":[69,136],"obtained":[70],"If":[74],"CSLBP":[75,101,122,152],"weighted":[78],"by":[79,141],"boost":[81],"factor,":[82,150],"it":[83,134],"will":[84],"enhance":[85],"success":[86],"rate":[87],"hashing.":[91],"The":[92],"proposed":[93,162],"method":[94,163],"SDQ-CSLBP":[96],"extract":[97],"using":[100,142],"with":[102],"standard":[103],"deviation":[104,109],"as":[105],"weight":[106,149],"factor.":[107],"Standard":[108],"represents":[111],"local":[112],"contrast":[113],"also":[115],"descriptor.":[118],"Resultant":[119],"histogram":[120],"16":[125],"bin":[126,140],"each":[128],"block":[129],"Further":[133],"compressed":[137,151],"8":[139],"flipped":[144],"difference":[145],"concept.":[146],"Without":[147],"has":[153],"low":[154],"discrimination":[155],"power.":[156],"Experimental":[157],"results":[158],"show":[159],"that":[160],"robust":[165],"against":[166],"preserving":[168],"manipulation":[169],"sensitive":[171],"changing":[174],"tampering.":[177]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
