{"id":"https://openalex.org/W2003029784","doi":"https://doi.org/10.1109/vcip.2013.6706430","title":"Rapid human action recognition in H.264/AVC compressed domain for video surveillance","display_name":"Rapid human action recognition in H.264/AVC compressed domain for video surveillance","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2003029784","doi":"https://doi.org/10.1109/vcip.2013.6706430","mag":"2003029784"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2013.6706430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5005801310","display_name":"Manu Tom","orcid":"https://orcid.org/0000-0002-0352-7153"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manu Tom","raw_affiliation_strings":["SERC, Indian Institute of Science, Bangalore, India","Video Analytics Lab Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SERC, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Video Analytics Lab Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113777904","display_name":"R. Venkatesh Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Venkatesh Babu","raw_affiliation_strings":["SERC, Indian Institute of Science, Bangalore, India","Video Analytics Lab Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SERC, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Video Analytics Lab Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58579156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8673139810562134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6720555424690247},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.640673816204071},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6056345701217651},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5162758231163025},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5009555816650391},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48923349380493164},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4686407744884491},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43863630294799805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4379868805408478},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41136854887008667},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4101752042770386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2569725513458252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8673139810562134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6720555424690247},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.640673816204071},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6056345701217651},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5162758231163025},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5009555816650391},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48923349380493164},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4686407744884491},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43863630294799805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4379868805408478},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41136854887008667},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4101752042770386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2569725513458252},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vcip.2013.6706430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:49236","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1967336115","https://openalex.org/W2010399676","https://openalex.org/W2017136046","https://openalex.org/W2027081450","https://openalex.org/W2034328688","https://openalex.org/W2041185527","https://openalex.org/W2049881795","https://openalex.org/W2081934843","https://openalex.org/W2085887298","https://openalex.org/W2097327139","https://openalex.org/W2106219841","https://openalex.org/W2107281533","https://openalex.org/W2114016557","https://openalex.org/W2126579184","https://openalex.org/W2140199336","https://openalex.org/W2144756383","https://openalex.org/W2153635508","https://openalex.org/W2156360858","https://openalex.org/W2410519007","https://openalex.org/W4249279051","https://openalex.org/W4251260102","https://openalex.org/W6600983433","https://openalex.org/W6641956653","https://openalex.org/W6663164182","https://openalex.org/W6671066591","https://openalex.org/W6677254752","https://openalex.org/W6714562584"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W1976264255"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"a":[3,52],"novel":[4],"high-speed":[5],"approach":[6,100],"for":[7,32],"human":[8],"action":[9,128],"recognition":[10,96],"in":[11,90,112],"H.264/AVC":[12],"compressed":[13,29,69],"domain.":[14],"The":[15,43,98,136],"proposed":[16,99,137],"algorithm":[17,55,138],"utilizes":[18],"cues":[19],"from":[20,27,68],"quantization":[21],"parameters":[22],"and":[23,35,80,84,94,106,109,130],"motion":[24],"vectors":[25],"extracted":[26],"the":[28,65,75],"video":[30],"sequence":[31],"feature":[33],"extraction":[34],"further":[36],"classification":[37],"using":[38],"Support":[39],"Vector":[40],"Machines":[41],"(SVM).":[42],"ultimate":[44],"goal":[45],"of":[46,77],"our":[47,123],"work":[48],"is":[49,110],"to":[50],"portray":[51],"much":[53],"faster":[54],"than":[56,133,149],"pixel":[57],"domain":[58],"counterparts,":[59],"with":[60,141],"comparable":[61],"accuracy,":[62],"utilizing":[63],"only":[64],"sparse":[66],"information":[67],"video.":[70],"Partial":[71],"decoding":[72],"rules":[73],"out":[74],"complexity":[76],"full":[78],"decoding,":[79],"minimizes":[81],"computational":[82],"load":[83],"memory":[85],"usage,":[86],"which":[87],"can":[88,101],"effect":[89],"reduced":[91],"hardware":[92],"utilization":[93],"fast":[95],"results.":[97],"handle":[102],"illumination":[103],"changes,":[104],"scale,":[105],"appearance":[107],"variations,":[108],"robust":[111],"outdoor":[113],"as":[114,116],"well":[115],"indoor":[117],"testing":[118],"scenarios.":[119],"We":[120],"have":[121],"tested":[122],"method":[124],"on":[125],"two":[126],"benchmark":[127],"datasets":[129],"achieved":[131],"more":[132,148],"85%":[134],"accuracy.":[135],"classifies":[139],"actions":[140],"speed":[142],"(>2000":[143],"fps)":[144],"approximately":[145],"100":[146],"times":[147],"existing":[150],"state-of-the-art":[151],"pixel-domain":[152],"algorithms.":[153]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}