{"id":"https://openalex.org/W4415535494","doi":"https://doi.org/10.1145/3746027.3756883","title":"SCID-Compress900: A Multi-Scene Dataset of 4K and 1080P Screen Content Images for Image Compression Research","display_name":"SCID-Compress900: A Multi-Scene Dataset of 4K and 1080P Screen Content Images for Image Compression Research","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415535494","doi":"https://doi.org/10.1145/3746027.3756883"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3756883","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3756883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027994076","display_name":"Huiming Zheng","orcid":"https://orcid.org/0009-0005-4467-9013"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiming Zheng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0005-4467-9013","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109115520","display_name":"Luqun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjie Zhou","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0009-1536-6914","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050309466","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0001-7429-5495"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-5495","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13618","last_page":"13622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994000196456909,"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":0.6697999835014343},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5526000261306763},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5228999853134155},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48170000314712524},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.43970000743865967},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.4251999855041504},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.3779999911785126},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.36469998955726624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813000082969666},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6697999835014343},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5526000261306763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5426999926567078},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5414999723434448},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5228999853134155},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48170000314712524},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4163999855518341},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.36469998955726624},{"id":"https://openalex.org/C112416745","wikidata":"https://www.wikidata.org/wiki/Q974213","display_name":"Digital imaging","level":5,"score":0.34049999713897705},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.3287000060081482},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.2944999933242798},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C2779344036","wikidata":"https://www.wikidata.org/wiki/Q11320476","display_name":"Digital content","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2524000108242035},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3756883","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3756883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5426793764","display_name":null,"funder_award_id":"GXWD20201231165807007-20200806163656003","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"}],"funders":[{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1561538450","https://openalex.org/W2026139930","https://openalex.org/W2249152912","https://openalex.org/W2509267076","https://openalex.org/W2556261813","https://openalex.org/W2658889823","https://openalex.org/W2743390484","https://openalex.org/W4386075611","https://openalex.org/W4387129535","https://openalex.org/W4401417032","https://openalex.org/W4403780763"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,8,14,113,141,183,196],"rapid":[2],"growth":[3],"of":[4,17,51,71,93,115,143,187,200],"digital":[5],"content":[6,19,55,76,189],"and":[7,25,61,84,101,157,168,185,198],"increasing":[9],"demand":[10],"for":[11,44,108,166,174],"high-resolution":[12],"displays,":[13],"efficient":[15],"compression":[16,46,109,126,145,172,190,201],"screen":[18,54,75,175,188],"images":[20,60,67],"characterized":[21],"by":[22,130],"text,":[23],"graphics,":[24],"UI":[26],"elements":[27],"has":[28],"become":[29],"an":[30,163],"important":[31],"research":[32,184],"field.":[33],"This":[34,177],"paper":[35],"introduces":[36],"a":[37,90,105],"new":[38],"dataset":[39,49,88,178],"named":[40],"SCID-Compress900":[41,137,151],"specially":[42],"designed":[43],"image":[45,125,171],"research.":[47],"The":[48,87,132,206],"consists":[50],"900":[52],"high-quality":[53],"images,":[56],"including":[57,95],"500":[58],"4K":[59],"400":[62],"1080P":[63],"images.":[64],"All":[65],"these":[66],"are":[68],"mainly":[69],"composed":[70],"text/graphics,":[72],"reflecting":[73],"typical":[74],"scenarios":[77],"such":[78],"as":[79],"office":[80],"documents,":[81],"software":[82],"interfaces,":[83],"presentation":[85],"slides.":[86],"covers":[89],"diverse":[91],"range":[92],"content,":[94,160],"various":[96],"font":[97],"sizes,":[98],"graphic":[99],"styles,":[100],"color":[102],"modes,":[103],"providing":[104],"comprehensive":[106],"testbed":[107],"algorithms.":[110,146],"To":[111],"demonstrate":[112],"effectiveness":[114],"SCID-Compress900,":[116],"we":[117],"conduct":[118],"benchmark":[119],"tests":[120],"using":[121],"several":[122],"deep":[123],"learning-based":[124],"methods":[127],"commonly":[128],"employed":[129],"researchers.":[131],"experimental":[133],"results":[134],"show":[135],"that":[136],"can":[138],"well":[139],"differentiate":[140],"performance":[142],"different":[144],"Compared":[147],"with":[148],"existing":[149],"datasets,":[150],"offers":[152],"higher":[153],"resolution,":[154],"larger":[155],"scale,":[156],"more":[158],"targeted":[159],"making":[161],"it":[162],"ideal":[164],"resource":[165],"developing":[167],"evaluating":[169],"advanced":[170],"algorithms":[173,202],"content.":[176],"will":[179],"not":[180],"only":[181],"promote":[182],"development":[186],"technology":[191],"but":[192],"also":[193],"contribute":[194],"to":[195],"standardization":[197],"optimization":[199],"in":[203],"practical":[204],"applications.":[205],"project":[207],"is":[208],"available":[209],"at":[210],"https://openi.pcl.ac.cn/OpenDatasets/SCID-Compress900.":[211]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}