{"id":"https://openalex.org/W2576377312","doi":"https://doi.org/10.1109/mmsp.2016.7813363","title":"Hybrid video object tracking in H.265/HEVC video streams","display_name":"Hybrid video object tracking in H.265/HEVC video streams","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2576377312","doi":"https://doi.org/10.1109/mmsp.2016.7813363","mag":"2576377312"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2016.7813363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","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/A5004434816","display_name":"Serhan G\u00fcl","orcid":"https://orcid.org/0000-0002-1330-9336"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Serhan Gul","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113682007","display_name":"Jan Timo Meyer","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Timo Meyer","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041140941","display_name":"Cornelius Hellge","orcid":"https://orcid.org/0000-0002-4465-9136"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cornelius Hellge","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101653494","display_name":"Thomas Schierl","orcid":"https://orcid.org/0000-0002-3914-8817"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Schierl","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026451495","display_name":"Wojciech Samek","orcid":"https://orcid.org/0000-0002-6283-3265"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wojciech Samek","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Video Coding & Analytics Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8592,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90740192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.820286214351654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7669036388397217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7355571985244751},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6712342500686646},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5831173658370972},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5710222721099854},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5384469032287598},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.48268675804138184},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4679490625858307},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.45617127418518066},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4495493471622467},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.44910475611686707},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.4488506615161896},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4106166362762451},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.36252763867378235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3585280776023865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1766171157360077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.130362868309021},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11509430408477783},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.09733068943023682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.820286214351654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7669036388397217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7355571985244751},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6712342500686646},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5831173658370972},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5710222721099854},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5384469032287598},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.48268675804138184},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4679490625858307},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.45617127418518066},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4495493471622467},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.44910475611686707},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.4488506615161896},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4106166362762451},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.36252763867378235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3585280776023865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1766171157360077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.130362868309021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11509430408477783},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.09733068943023682},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":2,"locations":[{"id":"doi:10.1109/mmsp.2016.7813363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/398180","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/398180","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1601731494","https://openalex.org/W1964591373","https://openalex.org/W1980508392","https://openalex.org/W1986082760","https://openalex.org/W1995903777","https://openalex.org/W2004797183","https://openalex.org/W2072460666","https://openalex.org/W2089961441","https://openalex.org/W2285743941","https://openalex.org/W2408560789","https://openalex.org/W6641071173","https://openalex.org/W6646481633","https://openalex.org/W6695514478"],"related_works":["https://openalex.org/W2187171999","https://openalex.org/W43054317","https://openalex.org/W3180934628","https://openalex.org/W2095192155","https://openalex.org/W3132023272","https://openalex.org/W4247602681","https://openalex.org/W1590871397","https://openalex.org/W2032827369","https://openalex.org/W3009101410","https://openalex.org/W24612264"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,57,77,91,138],"hybrid":[6,81,131],"tracking":[7,118,135],"method":[8,53,94,122],"which":[9],"detects":[10],"moving":[11,71],"objects":[12],"in":[13],"videos":[14],"compressed":[15,51],"according":[16],"to":[17,45],"H.265/HEVC":[18],"standard.":[19],"Our":[20],"framework":[21,132],"largely":[22],"depends":[23],"on":[24,56,76],"motion":[25],"vectors":[26],"(MV)":[27],"and":[28,39,66,73,105,127],"block":[29],"types":[30],"obtained":[31],"by":[32],"partially":[33],"decoding":[34],"the":[35,70,88,97,101,117],"video":[36,125],"bit":[37],"stream":[38],"occasionally":[40],"uses":[41],"pixel":[42,92],"domain":[43,52,93],"information":[44,99],"distinguish":[46],"between":[47],"two":[48],"objects.":[49],"The":[50,80],"is":[54,74,106],"based":[55],"Markov":[58],"Random":[59],"Field":[60],"(MRF)":[61],"model":[62],"that":[63,95,129],"captures":[64],"spatial":[65],"temporal":[67],"coherence":[68],"of":[69,83,90,111,120],"object":[72],"updated":[75,107],"frame-to-frame":[78],"basis.":[79],"nature":[82],"our":[84,121,130],"approach":[85],"stems":[86],"from":[87,100],"usage":[89],"extracts":[96],"color":[98],"fully-decoded":[102],"I":[103],"frames":[104],"only":[108],"after":[109],"completion":[110],"each":[112],"Group-of-Pictures":[113],"(GOP).":[114],"We":[115],"test":[116],"accuracy":[119,136],"using":[123],"standard":[124],"sequences":[126],"show":[128],"provides":[133],"better":[134],"than":[137],"state-of-the-art":[139],"MRF":[140],"model.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}