{"id":"https://openalex.org/W2067052533","doi":"https://doi.org/10.1109/icip.2008.4712107","title":"Chaos and MPEG-7 based feature vector for video object classification","display_name":"Chaos and MPEG-7 based feature vector for video object classification","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2067052533","doi":"https://doi.org/10.1109/icip.2008.4712107","mag":"2067052533"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image 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/A5111919167","display_name":"Hanif Azhar","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hanif Azhar","raw_affiliation_strings":["Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","Electr. & Comput. Eng., Concordia Univ., Montreal, QC"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Concordia Univ., Montreal, QC","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109250828","display_name":"Aishy Amer","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aishy Amer","raw_affiliation_strings":["Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","Electr. & Comput. Eng., Concordia Univ., Montreal, QC"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Concordia Univ., Montreal, QC","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111919167"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.2808,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59932555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4225","issue":null,"first_page":"1724","last_page":"1727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9674999713897705,"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/feature","display_name":"Feature (linguistics)","score":0.7889113426208496},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.7807434797286987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6766676902770996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6583898067474365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6538496613502502},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6223999261856079},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6014195680618286},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4771256446838379},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4407811760902405},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.4388422667980194},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42765629291534424},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.4241347908973694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23087963461875916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12464669346809387}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7889113426208496},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.7807434797286987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6766676902770996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583898067474365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6538496613502502},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6223999261856079},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6014195680618286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4771256446838379},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4407811760902405},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.4388422667980194},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42765629291534424},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.4241347908973694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23087963461875916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12464669346809387},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W40218974","https://openalex.org/W613224089","https://openalex.org/W2018430387","https://openalex.org/W2056651346","https://openalex.org/W2097269960","https://openalex.org/W2124216369","https://openalex.org/W2127134781","https://openalex.org/W2130946900","https://openalex.org/W2140755429","https://openalex.org/W2155994391","https://openalex.org/W2164426580","https://openalex.org/W3036383388","https://openalex.org/W4210863233","https://openalex.org/W6780208836"],"related_works":["https://openalex.org/W2379488025","https://openalex.org/W2318462079","https://openalex.org/W2585728124","https://openalex.org/W2169362996","https://openalex.org/W2340294931","https://openalex.org/W2565482338","https://openalex.org/W2001163940","https://openalex.org/W2082884906","https://openalex.org/W3014531371","https://openalex.org/W2377705019"],"abstract_inverted_index":{"We":[0,19,64],"propose":[1],"a":[2,28],"method":[3,33],"to":[4],"generate":[5],"unique":[6],"feature":[7,22,35,52,86,94,101,118,128],"vectors":[8,53,68,95,119],"for":[9,60,69],"video":[10,62],"objects":[11],"using":[12,45],"chaos":[13],"theory":[14],"and":[15,76],"MPEG-7":[16,58,100,127],"visual":[17,25],"descriptors.":[18],"consider":[20],"each":[21,61],"element":[23],"of":[24,37,41,125],"descriptors":[26],"as":[27],"dynamic":[29],"system.":[30],"The":[31,48],"proposed":[32,93,117],"performs":[34],"binding":[36,49],"the":[38,56,66,92,99,116,126],"re-constructed":[39],"trajectory":[40],"simulated":[42],"chaotic":[43,81],"attractors":[44,82],"histogram":[46],"analysis.":[47],"derives":[50],"two":[51],"different":[54,107],"from":[55,98],"original":[57],"one,":[59],"object.":[63],"use":[65],"new":[67],"object":[70],"classification.":[71],"Low":[72],"(e.g.,":[73,78],"Logistic":[74],"Map)":[75],"high":[77],"Mackey-Glass)":[79],"dimensional":[80],"are":[83,96],"used.":[84],"Dynamic":[85],"reduction":[87],"(35.44%":[88],"on":[89,112,123],"average)":[90,113,124],"in":[91],"achieved":[97],"vector.":[102,129],"Cross":[103],"validation":[104],"accuracy":[105],"with":[106,115],"classifiers":[108],"shows":[109],"significant":[110],"(87.6%":[111],"improvement":[114],"over":[120],"that":[121],"(73.2%":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
