{"id":"https://openalex.org/W4396628219","doi":"https://doi.org/10.1145/3647649.3647712","title":"Spatial-Channel Specific Snake-YOLOv8 for Video Logo Detection in Live Streaming Scenes","display_name":"Spatial-Channel Specific Snake-YOLOv8 for Video Logo Detection in Live Streaming Scenes","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4396628219","doi":"https://doi.org/10.1145/3647649.3647712"},"language":"en","primary_location":{"id":"doi:10.1145/3647649.3647712","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647649.3647712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103032651","display_name":"Wensheng Li","orcid":"https://orcid.org/0009-0007-6312-4157"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Li","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-6312-4157","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032383728","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-1290-0738"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-1290-0738","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022222","display_name":"Chenyu Yuan","orcid":"https://orcid.org/0009-0000-8115-2230"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Yuan","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-8115-2230","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"402","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7937972545623779},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6972051858901978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6514821648597717},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5228263139724731},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4317472577095032},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.42911791801452637},{"id":"https://openalex.org/keywords/live-streaming","display_name":"Live streaming","score":0.4160967469215393},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.394949346780777},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.3504086136817932},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.20671898126602173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937972545623779},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6972051858901978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6514821648597717},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5228263139724731},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4317472577095032},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.42911791801452637},{"id":"https://openalex.org/C2776741261","wikidata":"https://www.wikidata.org/wiki/Q3027665","display_name":"Live streaming","level":2,"score":0.4160967469215393},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.394949346780777},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3504086136817932},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.20671898126602173},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647649.3647712","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647649.3647712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2402077126","display_name":null,"funder_award_id":"61971016","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2088049833","https://openalex.org/W2193145675","https://openalex.org/W2910345484","https://openalex.org/W2910522659","https://openalex.org/W2948055876","https://openalex.org/W2963037989","https://openalex.org/W2966926453","https://openalex.org/W2989676862","https://openalex.org/W3012374325","https://openalex.org/W3034467781","https://openalex.org/W3080079484","https://openalex.org/W3106250896","https://openalex.org/W3130428959","https://openalex.org/W3131500599","https://openalex.org/W3205363943","https://openalex.org/W3206112721","https://openalex.org/W4225274218","https://openalex.org/W4293584584","https://openalex.org/W4312772544","https://openalex.org/W4317796687","https://openalex.org/W4366775185","https://openalex.org/W4383163635","https://openalex.org/W4384648050","https://openalex.org/W4385692889","https://openalex.org/W4386076325","https://openalex.org/W4387223490","https://openalex.org/W4387323441"],"related_works":["https://openalex.org/W1574724839","https://openalex.org/W4221117092","https://openalex.org/W2213155192","https://openalex.org/W1623638113","https://openalex.org/W2096476311","https://openalex.org/W181787362","https://openalex.org/W2406608628","https://openalex.org/W3034776505","https://openalex.org/W2899854151","https://openalex.org/W2746669491"],"abstract_inverted_index":{"Live":[0],"video":[1,15,33,42,71,165],"platforms":[2],"have":[3],"attracted":[4],"many":[5],"active":[6],"streamers":[7],"and":[8,11,24,34,57,103,153,162],"daily":[9],"users,":[10],"quickly":[12],"understanding":[13,41],"live":[14,32,61,75,121,169],"streaming":[16,43,62,76,170],"scenes":[17],"is":[18,98],"crucial":[19],"for":[20,40,70,90,164],"ensuring":[21],"the":[22,47,50,94,143,146],"clean":[23],"healthy":[25],"cyberspace.":[26],"Video":[27],"logo":[28,72,88,112,166],"often":[29],"appear":[30],"in":[31,60,74,120,168],"can":[35],"serve":[36],"as":[37,53,55],"key":[38],"clues":[39],"scenes.":[44,77,92,171],"Due":[45],"to":[46,85,100,106,108,115],"presence":[48],"of":[49,140,145],"jitter":[51,91],"scenes,":[52,63,123],"well":[54],"blur":[56],"deformed":[58],"logos":[59,110,119],"we":[64,79,124],"propose":[65],"a":[66],"spatial-channel":[67,95,130],"specific":[68,96,131],"snake-yolov8":[69],"detection":[73,167],"First,":[78],"design":[80],"an":[81],"involutional":[82],"fusion":[83],"layer":[84],"fuse":[86],"interframe":[87],"features":[89],"Then,":[93],"involution":[97],"proposed":[99,147],"extract":[101],"spatial":[102],"channel":[104],"context,":[105],"adapt":[107],"blurring":[109],"during":[111],"detection.":[113],"Finally,":[114],"cope":[116],"with":[117],"deformable":[118],"steaming":[122],"embed":[125],"snake":[126],"deformation":[127],"convolution":[128],"into":[129],"involution.":[132],"Experimental":[133],"results":[134],"show":[135],"that":[136],"under":[137],"inference":[138],"efficiency":[139],"39.8":[141],"FPS,":[142],"mAP":[144],"method":[148],"reaches":[149],"69.7%":[150],"on":[151,155],"LogoDet-3K,":[152],"53.0%":[154],"self-built":[156],"BJUT-VLD,":[157],"which":[158],"has":[159],"certain":[160],"effectiveness":[161],"superiority":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}