{"id":"https://openalex.org/W4387785598","doi":"https://doi.org/10.1109/ispa58351.2023.10279726","title":"Comparative Analysis of Image Encoders and Compression Effects on Machine Task Performance","display_name":"Comparative Analysis of Image Encoders and Compression Effects on Machine Task Performance","publication_year":2023,"publication_date":"2023-09-18","ids":{"openalex":"https://openalex.org/W4387785598","doi":"https://doi.org/10.1109/ispa58351.2023.10279726"},"language":"en","primary_location":{"id":"doi:10.1109/ispa58351.2023.10279726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa58351.2023.10279726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5006865456","display_name":"Velibor Adzic","orcid":null},"institutions":[{"id":"https://openalex.org/I2802769386","display_name":"Boca Raton Regional Hospital","ror":"https://ror.org/01phhgk62","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1302444339","https://openalex.org/I2802769386"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Velibor Adzic","raw_affiliation_strings":["Videopura LLC,Boca Raton,FL,USA","Videopura LLC, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Videopura LLC,Boca Raton,FL,USA","institution_ids":["https://openalex.org/I2802769386"]},{"raw_affiliation_string":"Videopura LLC, Boca Raton, FL, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006865456"],"corresponding_institution_ids":["https://openalex.org/I2802769386"],"apc_list":null,"apc_paid":null,"fwci":0.2466,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53825937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9995999932289124,"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":0.9995999932289124,"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":0.8322513103485107},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.8205651044845581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7994990348815918},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6239046454429626},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5885776281356812},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5870900750160217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5628071427345276},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5559605360031128},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5369825959205627},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44331446290016174},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44323819875717163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44151875376701355},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4191015362739563},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.39021962881088257},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3580936789512634},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2617591619491577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2408575713634491},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.17786723375320435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08531728386878967}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.8322513103485107},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.8205651044845581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994990348815918},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6239046454429626},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5885776281356812},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5870900750160217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5628071427345276},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5559605360031128},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5369825959205627},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44331446290016174},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44323819875717163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44151875376701355},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4191015362739563},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.39021962881088257},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3580936789512634},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2617591619491577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2408575713634491},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.17786723375320435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08531728386878967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa58351.2023.10279726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa58351.2023.10279726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2064076387","https://openalex.org/W2101700394","https://openalex.org/W2140196014","https://openalex.org/W2146395539","https://openalex.org/W2792447253","https://openalex.org/W2946106399","https://openalex.org/W2963980515","https://openalex.org/W2971904947","https://openalex.org/W3014856200","https://openalex.org/W3088546539","https://openalex.org/W3164402689","https://openalex.org/W3180854701","https://openalex.org/W3202918664","https://openalex.org/W4205541964","https://openalex.org/W4206485136","https://openalex.org/W4229452976","https://openalex.org/W4292794790","https://openalex.org/W4361805498","https://openalex.org/W4367054248","https://openalex.org/W4367187369","https://openalex.org/W4376464601","https://openalex.org/W6675207249","https://openalex.org/W6753209683","https://openalex.org/W6796346973","https://openalex.org/W6799260705","https://openalex.org/W6851939702"],"related_works":["https://openalex.org/W2441603424","https://openalex.org/W2147471256","https://openalex.org/W2542654834","https://openalex.org/W4243959093","https://openalex.org/W2151920332","https://openalex.org/W1994319845","https://openalex.org/W2159814397","https://openalex.org/W2147992969","https://openalex.org/W2100013736","https://openalex.org/W1575921859"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"has":[4],"been":[5],"a":[6,57],"sharp":[7],"increase":[8],"in":[9,99],"automated":[10],"analysis":[11],"of":[12,22,32,39,59,65,81,95],"images":[13,23,33],"by":[14,25,35],"machines.":[15],"It":[16],"is":[17],"expected":[18],"that":[19,78],"the":[20,30,79,123],"volume":[21,31],"consumed":[24,34],"machines":[26],"will":[27],"greatly":[28],"exceed":[29],"humans.":[36],"The":[37],"utilities":[38],"traditional":[40],"image":[41,83],"coding":[42],"algorithms":[43],"for":[44,62,118],"machine":[45,63],"consumption":[46,64],"are":[47],"not":[48],"sufficiently":[49],"explored.":[50],"To":[51],"address":[52],"this":[53],"issue,":[54],"we":[55],"conducted":[56],"study":[58],"compression":[60],"efficiency":[61],"JPEG,":[66],"JPEG":[67,87,110],"XL,":[68,111],"WebP,":[69],"AVIF,":[70],"HEVC,":[71],"and":[72,88,112],"VVC":[73],"codecs.":[74],"Test":[75],"results":[76],"show":[77],"use":[80,120],"classical":[82],"codecs":[84,108],"such":[85],"as":[86],"WebP":[89],"could":[90,114],"lead":[91],"to":[92],"unsatisfactory":[93],"performance":[94],"convolutional":[96],"neural":[97],"networks":[98],"object":[100],"detection":[101],"accuracy,":[102],"especially":[103],"at":[104],"lower":[105],"bitrates.":[106],"State-of-the-art":[107],"VVC,":[109],"AVIF":[113],"be":[115],"more":[116],"suitable":[117],"those":[119],"cases,":[121],"despite":[122],"increased":[124],"computational":[125],"complexity.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}