{"id":"https://openalex.org/W2344585011","doi":"https://doi.org/10.1109/vcip.2015.7457882","title":"Visual saliency detection based on mutual information in compressed domain","display_name":"Visual saliency detection based on mutual information in compressed domain","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2344585011","doi":"https://doi.org/10.1109/vcip.2015.7457882","mag":"2344585011"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2015.7457882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","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/A5101599164","display_name":"Ran Gao","orcid":"https://orcid.org/0000-0002-3151-7040"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ran Gao","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013273132","display_name":"Qin Tu","orcid":"https://orcid.org/0000-0001-9045-5751"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Tu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691529","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-9247-4531"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063762384","display_name":"Yanping Lu","orcid":"https://orcid.org/0000-0002-0465-7881"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Lu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678496","display_name":"Wei Xie","orcid":"https://orcid.org/0000-0002-7840-5652"},"institutions":[{"id":"https://openalex.org/I2801770497","display_name":"State Administration of Press, Publication, Radio, Film and Television","ror":"https://ror.org/00qrrpx34","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801770497"]},{"id":"https://openalex.org/I4210111085","display_name":"Academy of Broadcasting Science","ror":"https://ror.org/01z4nez64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210111085"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xie","raw_affiliation_strings":["SAPPRFT, Academy of Broadcasting Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SAPPRFT, Academy of Broadcasting Science, Beijing, China","institution_ids":["https://openalex.org/I4210111085","https://openalex.org/I2801770497"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072795322","display_name":"Aidong Men","orcid":"https://orcid.org/0000-0001-6168-9276"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aidong Men","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101599164"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71079696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9905999898910522,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8105834722518921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7273069620132446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.675194263458252},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.6732488870620728},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.6426628828048706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5929228067398071},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5273662209510803},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.4882814884185791},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46513503789901733},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4628623425960541},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.4329086244106293},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41538023948669434},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28448477387428284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2196902632713318},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.21943974494934082}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8105834722518921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273069620132446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.675194263458252},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.6732488870620728},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.6426628828048706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5929228067398071},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5273662209510803},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.4882814884185791},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46513503789901733},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4628623425960541},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.4329086244106293},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41538023948669434},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28448477387428284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2196902632713318},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.21943974494934082},{"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/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/vcip.2015.7457882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1966822461","https://openalex.org/W1967508848","https://openalex.org/W1978479866","https://openalex.org/W2017518883","https://openalex.org/W2026019603","https://openalex.org/W2041719651","https://openalex.org/W2043331342","https://openalex.org/W2094524899","https://openalex.org/W2097295641","https://openalex.org/W2098702446","https://openalex.org/W2103666701","https://openalex.org/W2117301471","https://openalex.org/W2124087378","https://openalex.org/W2135957164","https://openalex.org/W2533218643","https://openalex.org/W4249986286","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2001667162","https://openalex.org/W2782976991","https://openalex.org/W2998848029","https://openalex.org/W2921433735","https://openalex.org/W2021373074","https://openalex.org/W3140461984","https://openalex.org/W2781926731","https://openalex.org/W1966822461","https://openalex.org/W1986917580","https://openalex.org/W2011895854"],"abstract_inverted_index":{"Saliency":[0],"detection":[1,19,117],"of":[2,36],"video":[3],"sequences":[4],"has":[5],"attracted":[6],"great":[7],"attention":[8],"in":[9,21],"recent":[10],"years.":[11],"In":[12],"this":[13],"paper,":[14],"we":[15,79],"propose":[16],"a":[17,89,94],"saliency":[18,28,54,76,85,91,103,116],"framework":[20],"the":[22,52,60,74,81,102,109,113],"compressed":[23],"domain.":[24],"Spatial":[25],"and":[26,42,56,68,83],"temporal":[27,53,84],"map":[29],"are":[30,70],"derived":[31],"by":[32],"calculating":[33],"mutual":[34],"information":[35],"feature":[37],"distribution":[38],"between":[39],"center":[40,96],"window":[41,44],"surrounding":[43],"respectively.":[45],"Motion":[46],"vector":[47],"is":[48,98],"used":[49,71],"to":[50,72,87,100],"get":[51],"map,":[55],"features":[57],"extracted":[58],"from":[59],"discrete":[61],"cosine":[62],"transformation":[63],"coefficients":[64],"including":[65],"luminance,":[66],"color":[67],"texture":[69],"obtain":[73,88],"spatial":[75,82],"map.":[77,92],"Then":[78],"combine":[80],"maps":[86],"spatiotemporal":[90],"Finally,":[93],"convex-hull-based":[95],"bias":[97],"added":[99],"optimize":[101],"maps.":[104],"Experimental":[105],"results":[106],"show":[107],"that":[108],"proposed":[110],"method":[111],"outperforms":[112],"existing":[114],"state-of-the-art":[115],"methods.":[118]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}