{"id":"https://openalex.org/W2121611890","doi":"https://doi.org/10.1109/icassp.2011.5946545","title":"Fast identification of JPEG 2000 images for digital cinema profiles","display_name":"Fast identification of JPEG 2000 images for digital cinema profiles","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2121611890","doi":"https://doi.org/10.1109/icassp.2011.5946545","mag":"2121611890"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5043771878","display_name":"Osamu Watanabe","orcid":"https://orcid.org/0000-0002-4040-7417"},"institutions":[{"id":"https://openalex.org/I7377986","display_name":"Takushoku University","ror":"https://ror.org/05qh38f12","country_code":"JP","type":"education","lineage":["https://openalex.org/I7377986"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Osamu Watanabe","raw_affiliation_strings":["Department of Electronics & Computer Systems, Takushoku University, Hachioji, Tokyo, Japan","Takushoku University, Dpet. of Electronics & Computer Systems, 815-1, Tatemachi, Hachioji-shi, Tokyo, JAPAN"],"affiliations":[{"raw_affiliation_string":"Department of Electronics & Computer Systems, Takushoku University, Hachioji, Tokyo, Japan","institution_ids":["https://openalex.org/I7377986"]},{"raw_affiliation_string":"Takushoku University, Dpet. of Electronics & Computer Systems, 815-1, Tatemachi, Hachioji-shi, Tokyo, JAPAN","institution_ids":["https://openalex.org/I7377986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057809960","display_name":"Takahiro Fukuhara","orcid":"https://orcid.org/0000-0001-9696-8427"},"institutions":[{"id":"https://openalex.org/I1304132090","display_name":"Sony (Taiwan)","ror":"https://ror.org/0214y7014","country_code":"TW","type":"company","lineage":["https://openalex.org/I1304132090","https://openalex.org/I4210143797"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Takahiro Fukuhara","raw_affiliation_strings":["CPDG PSG, Sony Corporation, Atsugi, Kanagawa, Japan","Sony Corporation, CPDG PSG, 4-14-1, Asahi-cho, Atsugi-shi, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"CPDG PSG, Sony Corporation, Atsugi, Kanagawa, Japan","institution_ids":[]},{"raw_affiliation_string":"Sony Corporation, CPDG PSG, 4-14-1, Asahi-cho, Atsugi-shi, Kanagawa, Japan","institution_ids":["https://openalex.org/I1304132090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015250468","display_name":"Hitoshi Kiya","orcid":"https://orcid.org/0000-0001-8061-3090"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Kiya","raw_affiliation_strings":["Department of Information and Communication Systems Engineering, Tokyo Metropolitan University, Hino, Tokyo, Japan","Tokyo Metropolitan University, Dept. of Info. and Commun. Systems Eng., 6-6 Asahigaoka, Hino-shi, JAPAN"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Systems Engineering, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Tokyo Metropolitan University, Dept. of Info. and Commun. Systems Eng., 6-6 Asahigaoka, Hino-shi, JAPAN","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043771878"],"corresponding_institution_ids":["https://openalex.org/I7377986"],"apc_list":null,"apc_paid":null,"fwci":1.0303,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80557838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"106","issue":null,"first_page":"881","last_page":"884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"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/jpeg","display_name":"JPEG","score":0.7271658182144165},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7106455564498901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7092719078063965},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.6895489692687988},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.6401267647743225},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.6244559288024902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107416749000549},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.594357430934906},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5185751914978027},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4905235171318054},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4878378212451935},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.46612903475761414},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.38499411940574646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34918373823165894},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3126150369644165},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3103391230106354},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.3074849247932434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21874773502349854},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16476866602897644}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7271658182144165},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7106455564498901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092719078063965},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.6895489692687988},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6401267647743225},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.6244559288024902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107416749000549},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.594357430934906},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5185751914978027},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4905235171318054},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4878378212451935},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.46612903475761414},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.38499411940574646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34918373823165894},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3126150369644165},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3103391230106354},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3074849247932434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21874773502349854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16476866602897644},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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:10.1109/icassp.2011.5946545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":9,"referenced_works":["https://openalex.org/W129100304","https://openalex.org/W389068614","https://openalex.org/W1821327556","https://openalex.org/W2116753260","https://openalex.org/W2149003270","https://openalex.org/W2156410694","https://openalex.org/W3207995102","https://openalex.org/W6605225492","https://openalex.org/W6802661357"],"related_works":["https://openalex.org/W1981870765","https://openalex.org/W2126317666","https://openalex.org/W4243959093","https://openalex.org/W1998280942","https://openalex.org/W3190486427","https://openalex.org/W606901217","https://openalex.org/W1980149576","https://openalex.org/W1992410481","https://openalex.org/W2145138541","https://openalex.org/W4313529871"],"abstract_inverted_index":{"A":[0],"method":[1,26,41,75],"for":[2,76],"identifying":[3],"JPEG":[4,58],"2000":[5,59],"images":[6],"with":[7],"different":[8,35],"coding":[9,36],"parameters,":[10],"such":[11],"as":[12],"DWT-filters,":[13],"code-block":[14],"sizes,":[15,18],"quantization":[16],"step":[17],"and":[19],"resolution":[20],"levels,":[21],"is":[22,42],"presented.":[23],"The":[24],"proposed":[25,40,74],"does":[27],"not":[28],"produce":[29],"false-negative":[30],"matches":[31],"regardless":[32],"of":[33,49,72],"the":[34,39,47,57,64,70,73],"parameters.":[37],"Moreover,":[38],"fast":[43],"because":[44],"it":[45],"uses":[46],"number":[48,52],"zero-bit-planes.":[50],"This":[51],"can":[53],"be":[54],"extracted":[55],"from":[56],"codestream":[60],"by":[61],"only":[62],"parsing":[63],"header":[65],"information.":[66],"Experimental":[67],"results":[68],"showed":[69],"effectiveness":[71],"digital":[77],"cinema":[78],"applications.":[79]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
