{"id":"https://openalex.org/W2164230452","doi":"https://doi.org/10.1109/icip.2007.4379194","title":"Early Termination Algorithms for Correlation Coefficient Based Block Matching","display_name":"Early Termination Algorithms for Correlation Coefficient Based Block Matching","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2164230452","doi":"https://doi.org/10.1109/icip.2007.4379194","mag":"2164230452"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5061017734","display_name":"Arif Mahmood","orcid":"https://orcid.org/0000-0001-5986-9876"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Arif Mahmood","raw_affiliation_strings":["Department of Computer Science, Lahore University of Management Sciences, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lahore University of Management Sciences, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102155704","display_name":"Sohaib Khan","orcid":"https://orcid.org/0000-0003-0120-8252"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sohaib Khan","raw_affiliation_strings":["Department of Computer Science, Lahore University of Management Sciences, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lahore University of Management Sciences, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061017734"],"corresponding_institution_ids":["https://openalex.org/I207789805"],"apc_list":null,"apc_paid":null,"fwci":1.9455,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87340371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"II ","last_page":" 469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/algorithm","display_name":"Algorithm","score":0.6425840258598328},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6301192045211792},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5966413021087646},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5823713541030884},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5556808114051819},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5425598621368408},{"id":"https://openalex.org/keywords/maxima","display_name":"Maxima","score":0.5256367921829224},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5158326029777527},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4872111678123474},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.4788134694099426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44891270995140076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42994701862335205},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.42965325713157654},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.22116270661354065},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13854458928108215},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11813387274742126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10617277026176453}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6425840258598328},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6301192045211792},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5966413021087646},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5823713541030884},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5556808114051819},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5425598621368408},{"id":"https://openalex.org/C91528185","wikidata":"https://www.wikidata.org/wiki/Q520952","display_name":"Maxima","level":3,"score":0.5256367921829224},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5158326029777527},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4872111678123474},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.4788134694099426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44891270995140076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42994701862335205},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.42965325713157654},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.22116270661354065},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13854458928108215},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11813387274742126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10617277026176453},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2007.4379194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.227.8920","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.8920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cvlab.lums.edu.pk/publications/Mahmood_Khan_ICIP2007.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2054484909","https://openalex.org/W2102182691","https://openalex.org/W2147555557","https://openalex.org/W2148044735","https://openalex.org/W2163009106","https://openalex.org/W2166783360","https://openalex.org/W2170767175","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W2901492383","https://openalex.org/W2901973005","https://openalex.org/W2913309527","https://openalex.org/W2159775375","https://openalex.org/W2055124383","https://openalex.org/W1841759989","https://openalex.org/W4308335705","https://openalex.org/W1673232818","https://openalex.org/W2009619919","https://openalex.org/W2034521848"],"abstract_inverted_index":{"Block":[0],"based":[1,89,96,129,211],"motion":[2],"compensation":[3],"techniques":[4],"make":[5],"frequent":[6],"use":[7],"of":[8,18,30,32,46,83,115,169,197],"early":[9],"termination":[10],"algorithms":[11,170],"(ETA)":[12],"to":[13,50,187,192,204,215],"reduce":[14],"the":[15,28,52,91,112,119,142,151,157,164,209,220],"computational":[16,64],"cost":[17,65],"block":[19],"matching":[20],"process.":[21],"ETAs":[22,68,84],"have":[23,71],"been":[24,72],"well":[25],"studied":[26],"in":[27,41,74,173],"context":[29],"sum":[31],"absolute":[33],"differences":[34],"(SAD)":[35],"match":[36],"measure":[37,60],"and":[38,90,176,213],"are":[39,125,161,171,190],"effective":[40],"eliminating":[42],"a":[43,57,102,107,131,174,179],"large":[44],"percentage":[45],"computations.":[47],"As":[48],"compared":[49],"SAD,":[51],"correlation":[53,86],"coefficient":[54],"(rho)":[55],"is":[56,99,136,139,202],"more":[58],"robust":[59],"but":[61],"has":[62],"high":[63],"because":[66],"no":[67],"for":[69,85],"rho":[70,98,116,135],"reported":[73],"literature.":[75],"In":[76,94,127,183,195],"this":[77],"paper,":[78],"we":[79],"propose":[80],"two":[81],"types":[82,168],"coefficient:":[87],"growth":[88,95],"bound":[92,128,153],"based.":[93],"ETA,":[97,130],"computed":[100],"as":[101],"monotonically":[103],"decreasing":[104],"measure.":[105],"At":[106],"specific":[108],"search":[109,148,165],"location,":[110],"when":[111],"partial":[113],"value":[114],"falls":[117,154],"below":[118],"yet":[120,158],"known":[121,159,223],"maxima,":[122],"remaining":[123],"calculations":[124],"discarded.":[126],"new":[132],"upper-bound":[133],"on":[134,178],"derived":[137],"which":[138],"tighter":[140],"than":[141,156,208,219],"currently":[143],"used":[144],"Cauchy-Schwartz":[145],"inequality.":[146],"The":[147],"locations":[149],"where":[150],"proposed":[152],"shorter":[155],"maxima":[160],"eliminated":[162],"from":[163],"space.":[166],"Both":[167],"implemented":[172],"cascade":[175],"tested":[177],"commercial":[180],"video":[181],"dataset.":[182],"our":[184,200],"experiments,":[185],"up":[186,203,214],"88%":[188],"computations":[189],"found":[191],"be":[193],"eliminated.":[194],"terms":[196],"execution":[198],"time,":[199],"algorithm":[201],"13.7":[205],"times":[206,217],"faster":[207,218],"FFTW":[210],"implementation":[212],"4.6":[216],"current":[221],"best":[222],"spatial":[224],"domain":[225],"technique.":[226]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
