{"id":"https://openalex.org/W2518070630","doi":"https://doi.org/10.1109/icip.2016.7532789","title":"An optical flow-based no-reference video quality assessment algorithm","display_name":"An optical flow-based no-reference video quality assessment algorithm","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2518070630","doi":"https://doi.org/10.1109/icip.2016.7532789","mag":"2518070630"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5021062826","display_name":"K. Manasa","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Manasa","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Hyderabad"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090343004","display_name":"Sumohana S. Channappayya","orcid":"https://orcid.org/0000-0002-5687-0887"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumohana S. Channappayya","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Hyderabad"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021062826"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":1.2132,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.85578222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2400","last_page":"2404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9966999888420105,"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":0.6930510997772217},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6525242924690247},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6434201002120972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533166766166687},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.48475381731987},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4776698052883148},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4658677577972412},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.45494744181632996},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.449199378490448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.440228134393692},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4274275302886963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4252273440361023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4108269214630127},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18808257579803467},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.11306881904602051},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.11075654625892639},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0848281979560852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930510997772217},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6525242924690247},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6434201002120972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533166766166687},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.48475381731987},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4776698052883148},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4658677577972412},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.45494744181632996},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.449199378490448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.440228134393692},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4274275302886963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4252273440361023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4108269214630127},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18808257579803467},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.11306881904602051},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.11075654625892639},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0848281979560852},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1961031432","https://openalex.org/W1964318296","https://openalex.org/W2019661178","https://openalex.org/W2033959528","https://openalex.org/W2048042940","https://openalex.org/W2076136231","https://openalex.org/W2088472442","https://openalex.org/W2102166818","https://openalex.org/W2106517536","https://openalex.org/W2117535912","https://openalex.org/W2128770501","https://openalex.org/W2149138362","https://openalex.org/W2150587399","https://openalex.org/W2153101587","https://openalex.org/W2154729342","https://openalex.org/W2157454221","https://openalex.org/W2163174086","https://openalex.org/W2165277686","https://openalex.org/W2194363988","https://openalex.org/W2314091824","https://openalex.org/W6682497123"],"related_works":["https://openalex.org/W2943685190","https://openalex.org/W3027116454","https://openalex.org/W2046455617","https://openalex.org/W1995358030","https://openalex.org/W2611572988","https://openalex.org/W2100602544","https://openalex.org/W2795889627","https://openalex.org/W2754002726","https://openalex.org/W2535168866","https://openalex.org/W2035601727"],"abstract_inverted_index":{"We":[0,74,103],"present":[1],"an":[2],"optical":[3,42],"flow-based":[4],"no-reference":[5,111],"video":[6,133,138,183],"quality":[7,15,113,164],"assessment":[8,114],"(NR-VQA)":[9],"algorithm":[10,20,109],"for":[11,110,154],"assessing":[12],"the":[13,24,37,48,53,57,68,77,80,89,94,106,116,127,142,163,173],"perceptual":[14],"of":[16,39,115,166,172],"natural":[17],"videos.":[18],"Our":[19],"is":[21,159,176],"based":[22],"on":[23,41,105,179],"hypothesis":[25],"that":[26,185],"distortions":[27],"affect":[28],"flow":[29,69,83,97],"statistics":[30],"both":[31],"locally":[32],"and":[33,51,63,72,120,141,181,199],"globally.":[34],"To":[35],"capture":[36],"effects":[38],"distortion":[40,188],"flow,":[43],"we":[44,60,92],"measure":[45,61,76,93],"irregularities":[46,66],"at":[47,52,131],"patch":[49,58,81],"level":[50,65,82,134,139],"frame":[54,90],"level.":[55],"At":[56,88],"level,":[59,91],"intra-":[62],"inter-patch":[64],"in":[67,79],"magnitude's":[70],"variance":[71],"mean.":[73],"also":[75],"correlation":[78],"randomness":[84],"between":[85,100],"successive":[86,101],"frames.":[87,102,117],"normalized":[95],"mean":[96],"magnitude":[98],"difference":[99],"rely":[104],"robust":[107],"NIQE":[108],"spatial":[112,121],"These":[118],"temporal":[119],"features":[122,140],"are":[123,146],"averaged":[124],"over":[125],"all":[126],"frames":[128],"to":[129,148,161],"arrive":[130],"a":[132,150,167],"feature":[135],"vector.":[136],"The":[137,170],"corresponding":[143],"DMOS":[144],"scores":[145],"used":[147,160],"train":[149],"support":[151],"vector":[152],"machine":[153,158],"regression":[155],"(SVR).":[156],"This":[157],"estimate":[162],"score":[165],"test":[168],"video.":[169],"competence":[171],"proposed":[174],"method":[175],"clearly":[177],"demonstrated":[178],"SD":[180],"HD":[182],"databases":[184],"include":[186],"common":[187],"types":[189],"such":[190],"as":[191],"compression":[192],"artifacts,":[193,196],"packet":[194],"loss":[195],"additive":[197],"noise,":[198],"blur.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}