{"id":"https://openalex.org/W2131970298","doi":"https://doi.org/10.1109/icassp.2009.4960383","title":"A compressive sensing approach to object-based surveillance video coding","display_name":"A compressive sensing approach to object-based surveillance video coding","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2131970298","doi":"https://doi.org/10.1109/icassp.2009.4960383","mag":"2131970298"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5108518939","display_name":"Divya Venkatraman","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Divya Venkatraman","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","[School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore.]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"[School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore.]","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052617896","display_name":"Anamitra Makur","orcid":"https://orcid.org/0000-0001-6232-923X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anamitra Makur","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","[School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore.]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"[School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore.]","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108518939"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":4.9725,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95864111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3513","last_page":"3516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.7592841386795044},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6217290759086609},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5745694041252136},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5442133545875549},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.49172666668891907},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4818105101585388},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4659475088119507},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4490280747413635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4489816129207611},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.4194050431251526},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3222474455833435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2925068736076355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1432977020740509},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1308116316795349},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06926918029785156},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06062254309654236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592841386795044},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6217290759086609},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5745694041252136},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5442133545875549},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.49172666668891907},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4818105101585388},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4659475088119507},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4490280747413635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4489816129207611},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.4194050431251526},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3222474455833435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2925068736076355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1432977020740509},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1308116316795349},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06926918029785156},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06062254309654236}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2009.4960383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.331.1467","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.1467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vc.cs.nthu.edu.tw/home/paper/codfiles/lschien/200911180727/a compressive sensing approach to object-based surveillance video coding.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1977252496","https://openalex.org/W2046658845","https://openalex.org/W2097294321","https://openalex.org/W2102625004","https://openalex.org/W2104266187","https://openalex.org/W2115275122","https://openalex.org/W2121696490","https://openalex.org/W2124860813","https://openalex.org/W2150593711","https://openalex.org/W2165174250","https://openalex.org/W2295549646","https://openalex.org/W2296616510","https://openalex.org/W2600339340","https://openalex.org/W4250955649","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W3133183159","https://openalex.org/W2539891235","https://openalex.org/W2045072747","https://openalex.org/W2188110539","https://openalex.org/W2189014268"],"abstract_inverted_index":{"This":[0,54],"paper":[1],"studies":[2],"the":[3,10,75,81,105],"feasibility":[4],"and":[5,33,64,71],"investigates":[6],"various":[7],"choices":[8],"in":[9],"application":[11],"of":[12,25,40,51,96],"compressive":[13],"sensing":[14],"(CS)":[15],"to":[16,37],"object-based":[17],"surveillance":[18],"video":[19,27],"coding.":[20],"The":[21,67],"residual":[22],"object":[23,52],"error":[24],"a":[26,30,41,94],"frame":[28],"is":[29,47],"sparse":[31,42],"signal":[32,43],"CS,":[34],"which":[35],"aims":[36],"represent":[38],"information":[39],"by":[44,73],"random":[45],"measurements,":[46],"considered":[48],"for":[49,93,104],"coding":[50],"error.":[53],"work":[55],"proposes":[56],"several":[57],"techniques":[58,68,107],"using":[59],"two":[60],"approaches-":[61],"direct":[62],"CS":[63],"transform-based":[65],"CS.":[66],"are":[69,108],"studied":[70],"analyzed":[72],"varying":[74],"different":[76,106],"trade-off":[77],"parameters":[78],"such":[79],"as":[80],"measurement":[82],"index,":[83],"quantization":[84],"levels":[85],"etc.":[86],"Finally":[87],"we":[88],"recommend":[89],"an":[90],"optimal":[91],"scheme":[92],"range":[95],"bitrates.":[97],"Experimental":[98],"results":[99],"with":[100],"comparative":[101],"bitrates-vs-PSNR":[102],"graphs":[103],"presented.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
