{"id":"https://openalex.org/W7224889651","doi":"https://doi.org/10.48550/arxiv.2610.39778","title":"SCOPE: Semantic COdec Pre-Editing for Object-Preserving Compression","display_name":"SCOPE: Semantic COdec Pre-Editing for Object-Preserving Compression","publication_year":2026,"publication_date":"2026-10-29","ids":{"openalex":"https://openalex.org/W7224889651","doi":"https://doi.org/10.48550/arxiv.2610.39778"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.39778","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.39778","pdf_url":"https://arxiv.org/pdf/2610.39778","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.39778","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121792320","display_name":"Silvia Dani","orcid":"https://orcid.org/0009-0002-1656-3628","observed_orcids":["https://orcid.org/0009-0002-1656-3628"]},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dani, Silvia","raw_affiliation_strings":["University of Florence , Florence , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florence , Florence , Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038181828","display_name":"Leonardo Galteri","orcid":"https://orcid.org/0000-0002-7247-9407","observed_orcids":["https://orcid.org/0000-0002-7247-9407"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galteri, Leonardo","raw_affiliation_strings":["Small Pixels , Florence , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Small Pixels , Florence , Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053986996","display_name":"Marco Bertini","orcid":"https://orcid.org/0000-0002-1364-218X","observed_orcids":["https://orcid.org/0000-0002-1364-218X"]},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bertini, Marco","raw_affiliation_strings":["Small Pixels , Florence , Italy","University of Florence , Florence , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Small Pixels , Florence , Italy","institution_ids":[]},{"raw_affiliation_string":"University of Florence , Florence , Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9804999828338623,"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":0.9804999828338623,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0142000000923872,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.0024999999441206455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/image-compression","display_name":"image compression","score":0.8410000205039978},{"id":"https://openalex.org/keywords/pre-editing","display_name":"pre-editing","score":0.6349999904632568},{"id":"https://openalex.org/keywords/semantic-image-editing","display_name":"semantic image editing","score":0.6019999980926514},{"id":"https://openalex.org/keywords/machine-vision","display_name":"machine vision","score":0.5130000114440918},{"id":"https://openalex.org/keywords/learned-image-compression","display_name":"learned image compression","score":0.4740000069141388},{"id":"https://openalex.org/keywords/wavelet-compression","display_name":"wavelet compression","score":0.9549999833106995},{"id":"https://openalex.org/keywords/transferability","display_name":"transferability","score":0.4429999887943268},{"id":"https://openalex.org/keywords/detection-accuracy","display_name":"detection accuracy","score":0.3499999940395355}],"concepts":[{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.7792999744415283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710999846458435},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.582099974155426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814999938011169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5351999998092651},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5212000012397766},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4837000072002411},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.32199999690055847},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.320499986410141},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.30489999055862427},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.30329999327659607},{"id":"https://openalex.org/C177067256","wikidata":"https://www.wikidata.org/wiki/Q4676210","display_name":"Adaptive Multi-Rate audio codec","level":4,"score":0.2994999885559082},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.2671999931335449},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.26019999384880066},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.25600001215934753}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.39778","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.39778","pdf_url":"https://arxiv.org/pdf/2610.39778","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.39778","doi":"https://doi.org/10.48550/arxiv.2610.39778","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.39778","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.39778","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.39778","pdf_url":"https://arxiv.org/pdf/2610.39778","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224889651.pdf","grobid_xml":"https://content.openalex.org/works/W7224889651.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4415708334","https://openalex.org/W3003583818","https://openalex.org/W4401452460","https://openalex.org/W4375869471","https://openalex.org/W7154332847","https://openalex.org/W7116096592","https://openalex.org/W4365802483","https://openalex.org/W4415273197","https://openalex.org/W7127162094","https://openalex.org/W7131072770"],"abstract_inverted_index":{"Image":[0],"compression":[1,37,55,66,120],"is":[2,48],"increasingly":[3],"used":[4],"before":[5,36],"machine":[6],"vision":[7],"systems,":[8],"yet":[9],"standard":[10],"codecs":[11],"are":[12],"mainly":[13],"optimized":[14],"for":[15],"human":[16],"perception":[17],"rather":[18],"than":[19],"downstream":[20],"task":[21],"accuracy.":[22],"We":[23],"propose":[24],"SCOPE":[25],"(Semantic":[26],"COdec":[27],"Pre-Editing),":[28],"a":[29,58],"conditional":[30],"image":[31],"pre-editor":[32,82],"that":[33],"modifies":[34],"images":[35],"to":[38,62,64,84,94,115],"improve":[39,95],"the":[40,51,78,81],"bitrate":[41],"and":[42,54,108,118],"detection":[43],"accuracy":[44],"trade-off.":[45],"The":[46,97],"model":[47],"conditioned":[49],"on":[50],"codec":[52,106],"family":[53],"severity,":[56],"allowing":[57],"single":[59],"trained":[60],"network":[61],"adapt":[63],"multiple":[65],"settings":[67],"without":[68],"retraining":[69],"or":[70],"loading":[71],"codec-specific":[72],"weights.":[73],"Instead":[74],"of":[75],"uniformly":[76],"preserving":[77],"whole":[79],"image,":[80],"learns":[83],"protect":[85],"task-relevant":[86],"regions":[87],"while":[88],"simplifying":[89],"less":[90],"important":[91],"background":[92],"content":[93],"compressibility.":[96],"resulting":[98],"rate-accuracy":[99],"curves":[100],"show":[101],"consistent":[102],"gains":[103],"across":[104],"different":[105],"families":[107],"detector":[109],"architectures,":[110],"together":[111],"with":[112],"strong":[113],"transferability":[114],"unseen":[116],"learned":[117],"wavelet-based":[119],"families.":[121]},"counts_by_year":[],"updated_date":"2026-11-02T09:45:03.842371","created_date":"2026-10-31T00:00:00"}