{"id":"https://openalex.org/W3035371198","doi":"https://doi.org/10.1109/icme46284.2020.9102768","title":"Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism","display_name":"Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3035371198","doi":"https://doi.org/10.1109/icme46284.2020.9102768","mag":"3035371198"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","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/A5074096341","display_name":"Phanwadee Sinthong","orcid":"https://orcid.org/0009-0006-4423-3860"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Phanwadee Sinthong","raw_affiliation_strings":["Dept. of Computer Science, University of California, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073589054","display_name":"Kanak Mahadik","orcid":"https://orcid.org/0000-0002-6780-4199"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kanak Mahadik","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023589965","display_name":"Somdeb Sarkhel","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somdeb Sarkhel","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003506066","display_name":"Saayan Mitra","orcid":"https://orcid.org/0000-0002-4048-2142"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saayan Mitra","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074096341"],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48309471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9940000176429749,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9890999794006348,"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":0.9049915075302124},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.810039758682251},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6323382258415222},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5943509936332703},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5312020182609558},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.47987452149391174},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.464589387178421},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4379030764102936},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4327494204044342},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41937321424484253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4190010130405426},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.35339945554733276},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15375691652297974},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08411824703216553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9049915075302124},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.810039758682251},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6323382258415222},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5943509936332703},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5312020182609558},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.47987452149391174},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.464589387178421},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4379030764102936},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4327494204044342},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41937321424484253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4190010130405426},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.35339945554733276},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15375691652297974},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08411824703216553},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme46284.2020.9102768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1987366351","https://openalex.org/W2094998392","https://openalex.org/W2146887469","https://openalex.org/W2183341477","https://openalex.org/W2620623908","https://openalex.org/W2622385665","https://openalex.org/W2737677090","https://openalex.org/W2787223504","https://openalex.org/W2885377438","https://openalex.org/W2892973774","https://openalex.org/W2899730059","https://openalex.org/W2962879692","https://openalex.org/W2964028737","https://openalex.org/W2965271289","https://openalex.org/W4295521014","https://openalex.org/W6735913928","https://openalex.org/W6738966219","https://openalex.org/W6739073796","https://openalex.org/W6748086406"],"related_works":["https://openalex.org/W2777249922","https://openalex.org/W2540591044","https://openalex.org/W2470589840","https://openalex.org/W4249402901","https://openalex.org/W3123845245","https://openalex.org/W4294734199","https://openalex.org/W1509211761","https://openalex.org/W1869243490","https://openalex.org/W4233779472","https://openalex.org/W2110550622"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2,63],"have":[3],"been":[4],"widely":[5],"used":[6],"in":[7,24,83,107,121,143],"video":[8,19,52,84,116],"analysis":[9,85],"applications":[10,30,86],"such":[11,28],"as":[12],"automatic":[13],"metadata":[14],"generation,":[15],"action":[16],"recognition,":[17],"and":[18,74,89,100,110,118],"summarization.":[20],"A":[21],"fundamental":[22],"module":[23],"the":[25,56,97,153],"pipeline":[26],"of":[27,50,60,134],"DNN-based":[29],"is":[31,39,45],"feature":[32,98,108],"extraction.":[33],"However,":[34],"extracting":[35],"features":[36],"for":[37],"videos":[38],"a":[40,122,131,137],"major":[41],"bottleneck":[42],"since":[43],"it":[44],"performed":[46],"on":[47,96,136],"every":[48],"frame":[49],"each":[51],"sequentially.":[53],"In":[54,68],"addition,":[55],"long":[57],"training":[58],"time":[59],"these":[61,94],"complex":[62],"also":[64],"hinders":[65],"their":[66],"usability.":[67],"this":[69],"work,":[70],"we":[71,141],"identify":[72],"fine-grained":[73],"coarse-grained":[75],"parallelism":[76,106,112],"techniques":[77,95],"to":[78,113,129,152],"speed":[79,114,132],"up":[80,115,133],"vital":[81],"components":[82],"through":[87],"inter-frame":[88],"intra-video":[90,111],"parallelism.":[91],"We":[92,103],"demonstrate":[93],"extraction":[99,109],"summarization":[101,117],"modules.":[102],"leverage":[104],"frame-level":[105],"implement":[119],"them":[120],"distributed":[123],"environment":[124],"using":[125],"Hadoop":[126],"Map-Reduce":[127],"framework":[128],"get":[130],"2.67X":[135],"4-node":[138],"setup.":[139],"Furthermore,":[140],"show":[142],"our":[144,147],"results":[145],"that":[146],"approach":[148],"has":[149],"similar":[150],"accuracy":[151],"sequential":[154],"applications.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}